{"id":91008,"date":"2026-09-05T12:03:51","date_gmt":"2026-09-05T09:03:51","guid":{"rendered":"https:\/\/twodots.gr\/?p=91008"},"modified":"2026-09-05T12:03:53","modified_gmt":"2026-09-05T09:03:53","slug":"ai-trisdiastati-aktinologia-report-den-arkei","status":"publish","type":"post","link":"https:\/\/twodots.gr\/bg\/ai-trisdiastati-aktinologia-report-den-arkei\/","title":{"rendered":"\u0418\u0437\u043a\u0443\u0441\u0442\u0432\u0435\u043d \u0438\u043d\u0442\u0435\u043b\u0435\u043a\u0442 \u0432 \u0442\u0440\u0438\u0438\u0437\u043c\u0435\u0440\u043d\u0430\u0442\u0430 \u0440\u0430\u0434\u0438\u043e\u043b\u043e\u0433\u0438\u044f: \u0437\u0430\u0449\u043e \u0435\u0434\u0438\u043d \u201e\u0438\u043d\u0442\u0435\u043b\u0438\u0433\u0435\u043d\u0442\u0435\u043d\u201c \u0434\u043e\u043a\u043b\u0430\u0434 \u043d\u0435 \u0435 \u0434\u043e\u0441\u0442\u0430\u0442\u044a\u0447\u0435\u043d"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u0397 AI \u03c3\u03c4\u03b7\u03bd \u03c4\u03c1\u03b9\u03c3\u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c4\u03b7 \u03b1\u03ba\u03c4\u03b9\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03b4\u03b5\u03bd \u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03cc\u03c3\u03bf \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03ad\u03bd\u03b1 report, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c0\u03cc \u03c4\u03bf \u03b1\u03bd \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03c4\u03bf volumetric evidence \u03c0\u03af\u03c3\u03c9 \u03b1\u03c0\u03cc \u03ba\u03ac\u03b8\u03b5 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc.<\/strong> \u0397 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ac \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03c3\u03c7\u03b5\u03b4\u03af\u03b1\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b9\u03c3\u03c4\u03ae 3D \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, acquisition metadata, traceable tool use, validation \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03bf \u03bc\u03b5 \u03c4\u03bf use case \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">\u0421\u044a\u0434\u044a\u0440\u0436\u0430\u043d\u0438\u0435<\/div>\n<ul>\n<li><a href=\"#2d-enantion-3d\">\u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u00ab2D \u03b5\u03bd\u03b1\u03bd\u03c4\u03af\u03bf\u03bd 3D\u00bb<\/a><\/li>\n<li><a href=\"#volumetric-foundation-models\">\u0391\u03c0\u03cc \u03c4\u03b1 \u03c7\u03b5\u03b9\u03c1\u03bf\u03c0\u03bf\u03af\u03b7\u03c4\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c3\u03c4\u03b1 volumetric foundation models<\/a><\/li>\n<li><a href=\"#self-supervised-ogkos\">\u03a0\u03ce\u03c2 \u03bc\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c4\u03b7 \u03b4\u03bf\u03bc\u03ae \u03b5\u03bd\u03cc\u03c2 \u03cc\u03b3\u03ba\u03bf\u03c5 \u03c7\u03c9\u03c1\u03af\u03c2 \u03c0\u03c5\u03ba\u03bd\u03ad\u03c2 \u03b5\u03c4\u03b9\u03ba\u03ad\u03c4\u03b5\u03c2<\/a><\/li>\n<li><a href=\"#glossa-kai-anatomia\">\u0397 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03b5\u03b8\u03b5\u03af \u03bc\u03b5 \u03b1\u03bd\u03b1\u03c4\u03bf\u03bc\u03af\u03b1, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03bc\u03b5 \u03ad\u03bd\u03b1 report<\/a><\/li>\n<li><a href=\"#visual-tokens\">\u03a4\u03bf \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf bottleneck: \u03c0\u03bf\u03b9\u03b1 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ac tokens \u03b5\u03c0\u03b9\u03b2\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd<\/a><\/li>\n<li><a href=\"#grounding-training\">\u0397 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b1\u03bc\u03b5\u03af\u03b2\u03b5\u03b9 \u03c4\u03b7 \u03b3\u03b5\u03af\u03c9\u03c3\u03b7, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03b7\u03bd \u03b5\u03c5\u03c7\u03ad\u03c1\u03b5\u03b9\u03b1<\/a><\/li>\n<li><a href=\"#ai-agents-radiologia\">\u0393\u03b9\u03b1\u03c4\u03af \u03bf\u03b9 AI agents \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03c4\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2<\/a><\/li>\n<li><a href=\"#tool-use-provenance\">\u03a4\u03bf tool use \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 provenance \u03ba\u03b1\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1\u03c2<\/a><\/li>\n<li><a href=\"#mnimi-longitudinal-reasoning\">\u039c\u03bd\u03ae\u03bc\u03b7 \u03ba\u03b1\u03b9 longitudinal reasoning: \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 \u03b1\u03bb\u03bb\u03ac \u03b5\u03c5\u03b1\u03af\u03c3\u03b8\u03b7\u03c4\u03b1<\/a><\/li>\n<li><a href=\"#claim-design-validation\">\u03a4\u03bf Claim\u2013Design\u2013Validation \u03c9\u03c2 \u03c6\u03af\u03bb\u03c4\u03c1\u03bf \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1\u03c2<\/a><\/li>\n<li><a href=\"#efarmoges-apodeixi\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ce\u03bd, \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03b1\u03c0\u03b1\u03b9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7\u03c2<\/a><\/li>\n<li><a href=\"#benchmarks-keno\">\u03a4\u03b1 benchmarks \u03c0\u03c1\u03bf\u03c7\u03c9\u03c1\u03bf\u03cd\u03bd, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03ba\u03bb\u03b5\u03af\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf \u03ba\u03b5\u03bd\u03cc<\/a><\/li>\n<li><a href=\"#acquisition-aware-ai\">Acquisition-aware AI: \u03c4\u03b1 metadata \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03ad\u03bd\u03bd\u03bf\u03b9\u03b1\u03c2<\/a><\/li>\n<li><a href=\"#pilot-agora\">\u03a4\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1\u03c2 \u03bf\u03c1\u03b3\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc pilot \u03ae \u03b1\u03b3\u03bf\u03c1\u03ac<\/a><\/li>\n<li><a href=\"#anthropinos-rolos\">\u039f \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf\u03c2 \u03c1\u03cc\u03bb\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03bf \u03c4\u03bf\u03c5 design<\/a><\/li>\n<li><a href=\"#erevnitiko-roadmap\">\u03a4\u03bf \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc roadmap \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae\u03c2 \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03bf\u03cc\u03b4\u03bf\u03c5<\/a><\/li>\n<li><a href=\"#mathima-pera-apo-ygeia\">\u03a4\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c5\u03b3\u03b5\u03af\u03b1<\/a><\/li>\n<\/ul>\n<\/div>\n<p>\u0388\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c4\u03b5\u03c7\u03bd\u03b7\u03c4\u03ae\u03c2 \u03bd\u03bf\u03b7\u03bc\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03b1\u03ba\u03c4\u03b9\u03bd\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03cc report \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u2019 \u03cc\u03bb\u03b1 \u03b1\u03c5\u03c4\u03ac \u03bd\u03b1 \u03bc\u03b7\u03bd \u03ad\u03c7\u03b5\u03b9 \u00ab\u03b4\u03b5\u03b9\u00bb \u03cc\u03c3\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03c3\u03c4\u03b7\u03c1\u03af\u03be\u03b5\u03b9 \u03c4\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03ac\u03c3\u03bc\u03b1\u03c4\u03ac \u03c4\u03bf\u03c5. \u0391\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03ba\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae \u03ad\u03bd\u03c4\u03b1\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b1\u03bd\u03b1\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7\u03c2 <em>Volumetric Radiology AI in the Era of Multimodal Large Language Models<\/em>, \u03b7 \u03bf\u03c0\u03bf\u03af\u03b1 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b1\u03c0\u03cc 200 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03cd\u03c3\u03b5\u03b9\u03c2 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b5\u03c2 \u03ad\u03c9\u03c2 \u03c4\u03bf\u03bd \u0399\u03bf\u03cd\u03bb\u03b9\u03bf \u03c4\u03bf\u03c5 2026. \u0397 \u03b1\u03ba\u03c4\u03b9\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 CT, MRI \u03ba\u03b1\u03b9 PET \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03b1\u03c0\u03bb\u03ce\u03c2 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ae \u03b5\u03b9\u03ba\u03cc\u03bd\u03c9\u03bd. \u0395\u03af\u03bd\u03b1\u03b9 \u03c4\u03c1\u03b9\u03c3\u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c4\u03bf, \u03c3\u03c5\u03c7\u03bd\u03ac \u03c0\u03bf\u03bb\u03c5\u03c6\u03b1\u03c3\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03cc \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03c4\u03b9\u03ba\u03ce\u03bd \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03c9\u03bd, \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03b8\u03ad\u03c3\u03b7, \u03b7 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03c4\u03bf\u03bc\u03ce\u03bd, \u03b7 \u03ad\u03ba\u03c4\u03b1\u03c3\u03b7 \u03bc\u03b9\u03b1\u03c2 \u03b2\u03bb\u03ac\u03b2\u03b7\u03c2, \u03bf\u03b9 \u03c0\u03b1\u03c1\u03ac\u03bc\u03b5\u03c4\u03c1\u03bf\u03b9 \u03bb\u03ae\u03c8\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03bc\u03b5 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03bd\u03cc\u03b7\u03bc\u03b1.<\/p>\n<p>\u0397 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b1\u03bd\u03b1\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03c1\u03bf\u03b4\u03b7\u03bc\u03bf\u03c3\u03af\u03b5\u03c5\u03c3\u03b7 \u03c3\u03c4\u03bf arXiv \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03c5\u03bd\u03c4\u03ae\u03c1\u03b9\u03b1 \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03ae \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2 \u03b5\u03bd\u03cc\u03c2 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03bf\u03c2. \u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03b5\u03cd\u03b5\u03b9 \u03c9\u03c2 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03cc\u03c2 \u03c7\u03ac\u03c1\u03c4\u03b7\u03c2 \u03c4\u03b7\u03c2 \u03b2\u03b9\u03b2\u03bb\u03b9\u03bf\u03b3\u03c1\u03b1\u03c6\u03af\u03b1\u03c2\u00b7 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ae \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae, \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b4\u03b7\u03bb\u03c9\u03bc\u03ad\u03bd\u03bf intended use.<\/p>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b4\u03b5\u03bd \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03c4\u03bf \u03c0\u03b9\u03bf \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03bf native 3D \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bf\u03cd\u03c4\u03b5 \u03cc\u03c4\u03b9 \u03bf\u03b9 agents \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ae\u03c3\u03bf\u03c5\u03bd \u03c4\u03bf\u03c5\u03c2 \u03b1\u03ba\u03c4\u03b9\u03bd\u03bf\u03bb\u03cc\u03b3\u03bf\u03c5\u03c2. \u03a0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03bf\u03c5\u03bd \u03ba\u03ac\u03c4\u03b9 \u03c0\u03b9\u03bf \u03b1\u03c0\u03b1\u03b9\u03c4\u03b7\u03c4\u03b9\u03ba\u03cc: \u03b7 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae, \u03c4\u03bf workflow \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03bc\u03b5 \u03c4\u03bf\u03bd \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc \u03c0\u03bf\u03c5 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1. \u0393\u03b9\u03b1 \u03bf\u03c1\u03b3\u03b1\u03bd\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03c5\u03b3\u03b5\u03af\u03b1\u03c2, \u03c0\u03c1\u03bf\u03bc\u03b7\u03b8\u03b5\u03c5\u03c4\u03ad\u03c2 \u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03b9\u03ba\u03bf\u03cd \u03ba\u03b1\u03b9 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd AI \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03b1, \u03b1\u03c5\u03c4\u03cc \u03bc\u03b5\u03c4\u03b1\u03c6\u03c1\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03bc\u03b9\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c1\u03c7\u03ae: \u03b7 \u03b5\u03c5\u03c7\u03ad\u03c1\u03b5\u03b9\u03b1 \u03c3\u03c4\u03b7 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1 \u03b4\u03b5\u03bd \u03b9\u03c3\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03b5\u03af \u03bc\u03b5 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03b7 \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03ae\u03c2 \u03ba\u03bb\u03ae\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1.<\/p>\n<h2 id=\"2d-enantion-3d\">\u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u00ab2D \u03b5\u03bd\u03b1\u03bd\u03c4\u03af\u03bf\u03bd 3D\u00bb<\/h2>\n<p>\u03a3\u03b5 \u03bc\u03af\u03b1 \u03b1\u03be\u03bf\u03bd\u03b9\u03ba\u03ae \u03ae \u03bc\u03b1\u03b3\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03c4\u03bf\u03bc\u03bf\u03b3\u03c1\u03b1\u03c6\u03af\u03b1, \u03b7 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ac \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03ae, \u03b1\u03c1\u03b1\u03b9\u03ae \u03ae \u03ba\u03b1\u03c4\u03b1\u03bd\u03b5\u03bc\u03b7\u03bc\u03ad\u03bd\u03b7 \u03c3\u03b5 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf \u03c4\u03bf\u03bd \u03cc\u03b3\u03ba\u03bf. \u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bd\u03b1 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03b1\u03bd\u03b1\u03c4\u03bf\u03bc\u03b9\u03ba\u03ce\u03bd \u03b4\u03bf\u03bc\u03ce\u03bd, \u03c4\u03b7 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03bc\u03b9\u03b1\u03c2 \u03b1\u03bb\u03bb\u03bf\u03af\u03c9\u03c3\u03b7\u03c2 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bc\u03ae \u03c3\u03b5 \u03c4\u03bf\u03bc\u03ae, \u03c4\u03b7 \u03c6\u03ac\u03c3\u03b7 \u03c3\u03ba\u03b9\u03b1\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03bf\u03cd \u03ae \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7 \u03b5\u03be\u03ad\u03c4\u03b1\u03c3\u03b7. \u038c\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 multimodal large language model \u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03bb\u03af\u03b3\u03b5\u03c2 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2, \u03bc\u03b9\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b9\u03b5\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ae \u03c4\u03bf \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03b5\u03bd\u03cc\u03c2 report, \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf\u03c2 \u03bd\u03b1 \u03c7\u03b1\u03b8\u03bf\u03cd\u03bd \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c4\u03b1 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 2D \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03af\u03c3\u03b5\u03b9\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c4\u03bf\u03c4\u03b5 \u03b1\u03bd\u03b5\u03c0\u03b1\u03c1\u03ba\u03b5\u03af\u03c2. \u0391\u03bd \u03c4\u03bf \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03ae \u03ad\u03c7\u03b5\u03b9 \u03ae\u03b4\u03b7 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03b1\u03c6\u03b5\u03af \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b1 \u03c3\u03c4\u03bf report, \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b7 \u03cc\u03c8\u03b7 \u03ae report-mediated reasoning \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c0\u03b1\u03c1\u03ba\u03b5\u03af. \u038c\u03c4\u03b1\u03bd \u03cc\u03bc\u03c9\u03c2 \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03b7\u03bd \u03ad\u03ba\u03c4\u03b1\u03c3\u03b7 \u03b2\u03bb\u03ac\u03b2\u03b7\u03c2, \u03c4\u03b9\u03c2 \u03c7\u03c9\u03c1\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2, \u03c4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03c6\u03bf\u03c1\u03c4\u03af\u03bf \u03bd\u03cc\u03c3\u03bf\u03c5, \u03c4\u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c6\u03ac\u03c3\u03b5\u03c9\u03bd \u03ae \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae, \u03b7 \u03c0\u03b9\u03c3\u03c4\u03ae volumetric \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03c0\u03c1\u03bf\u03cb\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7. \u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf 3D;\u00bb, \u03b1\u03bb\u03bb\u03ac \u00ab\u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03c4\u03b7\u03bd \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c0\u03bf\u03c5 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c2 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2;\u00bb.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>\u0388\u03bd\u03b1 fluent report \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7\u03c2.<\/strong> \u0397 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03ba\u03b5\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c0\u03bb\u03b7\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03b9\u03c3\u03cc\u03b4\u03bf\u03c5, \u03c4\u03b7 \u03c7\u03c9\u03c1\u03b9\u03ba\u03ae \u03b3\u03b5\u03af\u03c9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03af\u03c7\u03b9\u03c3\u03b7 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c5\u03c1\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03b7 \u03c4\u03bf\u03bc\u03ae, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae \u03ae \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7. \u03a4\u03bf \u03af\u03b4\u03b9\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c3\u03c4\u03b7\u03bd <a href=\"https:\/\/twodots.gr\/medical-ai-specialization-veltiosi-montelou-pera-apo-score\/\">\u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 medical AI \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc score<\/a>.<\/p>\n<\/aside>\n<h2 id=\"volumetric-foundation-models\">\u0391\u03c0\u03cc \u03c4\u03b1 \u03c7\u03b5\u03b9\u03c1\u03bf\u03c0\u03bf\u03af\u03b7\u03c4\u03b1 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c3\u03c4\u03b1 volumetric foundation models<\/h2>\n<p>\u039f\u03b9 \u03c0\u03b1\u03c1\u03b1\u03b4\u03bf\u03c3\u03b9\u03b1\u03ba\u03ad\u03c2 \u03c1\u03bf\u03ad\u03c2 radiomics \u03bc\u03b5\u03c4\u03ad\u03c4\u03c1\u03b5\u03c0\u03b1\u03bd \u03c4\u03bf\u03c5\u03c2 \u03cc\u03b3\u03ba\u03bf\u03c5\u03c2 \u03c3\u03b5 \u03c0\u03bf\u03c3\u03bf\u03c4\u03b9\u03ba\u03ac \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03ad\u03bd\u03c4\u03b1\u03c3\u03b7\u03c2, \u03c3\u03c7\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2, \u03c5\u03c6\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03b9\u03ba\u03ae\u03c2 \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1\u03c2. \u0388\u03c6\u03b5\u03c1\u03b1\u03bd \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ae \u03c0\u03c1\u03cc\u03bf\u03b4\u03bf, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03ae \u03c4\u03bf\u03c5\u03c2 \u03b5\u03be\u03b1\u03c1\u03c4\u03b9\u03cc\u03c4\u03b1\u03bd \u03b1\u03c0\u03cc segmentation, \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03bf scanner, reconstruction kernel, voxel spacing, standardization \u03ba\u03b1\u03b9 \u03c4\u03bf\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc classifier. \u0395\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd, \u03c3\u03c5\u03bd\u03ae\u03b8\u03c9\u03c2 \u03c3\u03c4\u03cc\u03c7\u03b5\u03c5\u03b1\u03bd \u03ad\u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03cc\u03c1\u03b3\u03b1\u03bd\u03bf, \u03b2\u03bb\u03ac\u03b2\u03b7 \u03ae endpoint, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03c2 \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03b5 \u03ac\u03bb\u03bb\u03b1 \u03b9\u03b4\u03c1\u03cd\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2.<\/p>\n<p>\u0397 \u03b2\u03b1\u03b8\u03b9\u03ac \u03bc\u03ac\u03b8\u03b7\u03c3\u03b7 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03ad\u03c3\u03c4\u03b7\u03c3\u03b5 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 feature engineering \u03bc\u03b5 learned representations, \u03b5\u03bd\u03ce \u03c4\u03b1 foundation models \u03b5\u03c0\u03b9\u03b4\u03b9\u03ce\u03ba\u03bf\u03c5\u03bd \u03b5\u03c0\u03b1\u03bd\u03b1\u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 datasets \u03ba\u03b1\u03b9 downstream tasks. \u03a3\u03c4\u03b7\u03bd \u03c4\u03c1\u03b9\u03c3\u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c4\u03b7 \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ae \u03b1\u03c0\u03b5\u03b9\u03ba\u03cc\u03bd\u03b9\u03c3\u03b7, \u03b1\u03c5\u03c4\u03cc \u03ad\u03c7\u03b5\u03b9 \u03b9\u03b4\u03b9\u03b1\u03af\u03c4\u03b5\u03c1\u03b7 \u03b1\u03be\u03af\u03b1 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03bf\u03b9 \u03c0\u03bb\u03ae\u03c1\u03b5\u03b9\u03c2 voxel-level \u03b5\u03c0\u03b9\u03c3\u03b7\u03bc\u03ac\u03bd\u03c3\u03b5\u03b9\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c2, \u03b5\u03bd\u03ce \u03bf\u03b9 \u03bc\u03b7 \u03b5\u03c0\u03b9\u03c3\u03b7\u03bc\u03b1\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03bf\u03c5\u03bd \u03ae\u03b4\u03b7 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03c4\u03bf\u03bc\u03ce\u03bd, \u03b1\u03bd\u03b1\u03c4\u03bf\u03bc\u03b9\u03ba\u03ae \u03c4\u03bf\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b1, modality-specific \u03b5\u03bc\u03c6\u03ac\u03bd\u03b9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03b9\u03ba\u03ae \u03c0\u03bb\u03b5\u03bf\u03bd\u03ac\u03b6\u03bf\u03c5\u03c3\u03b1 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1. \u0397 \u03b1\u03c5\u03c4\u03bf\u03b5\u03c0\u03b9\u03b2\u03bb\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03bc\u03ac\u03b8\u03b7\u03c3\u03b7 \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03b4\u03bf\u03bc\u03ae \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03ac\u03bc\u03bc\u03b9\u03c3\u03b7 \u03bc\u03b5 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1 \u03ae \u03c4\u03b7\u03bd \u03b5\u03be\u03b5\u03b9\u03b4\u03af\u03ba\u03b5\u03c5\u03c3\u03b7 \u03c3\u03b5 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03cc task.<\/p>\n<div class=\"td-comparison td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--three\">\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">\u0395\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2 2D \u03cc\u03c8\u03b5\u03b9\u03c2<\/p>\n<p>\u03a4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc evidence \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c4\u03bf\u03c5\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03b5\u03af.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u03a7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf token cost<\/span><span class=\"td-badge\">\u039a\u03af\u03bd\u03b4\u03c5\u03bd\u03bf\u03c2 \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b1\u03c2 context<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">\u03a5\u03b2\u03c1\u03b9\u03b4\u03b9\u03ba\u03ae 2D\/3D \u03c3\u03c7\u03b5\u03b4\u03af\u03b1\u03c3\u03b7<\/p>\n<p>\u03a3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03ce\u03c1\u03b9\u03bc\u03bf\u03c5\u03c2 2D encoders \u03bc\u03b5 volumetric context \u03ba\u03b1\u03b9 routing \u03b1\u03bd\u03ac \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03ae modality.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u0413\u044a\u0432\u043a\u0430\u0432\u043e\u0441\u0442<\/span><span class=\"td-badge\">\u03a0\u03bf\u03bb\u03cd\u03c0\u03bb\u03bf\u03ba\u03bf grounding<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Native 3D \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7<\/p>\n<p>\u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03c4\u03bf\u03bc\u03ce\u03bd, \u03cc\u03b3\u03ba\u03bf, \u03c7\u03c9\u03c1\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03ae \u03c0\u03bf\u03bb\u03c5\u03c6\u03b1\u03c3\u03b9\u03ba\u03ae \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u03a0\u03bb\u03b7\u03c1\u03ad\u03c3\u03c4\u03b5\u03c1\u03bf evidence<\/span><span class=\"td-badge\">\u03a5\u03c8\u03b7\u03bb\u03cc compute budget<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"self-supervised-ogkos\">\u03a0\u03ce\u03c2 \u03bc\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c4\u03b7 \u03b4\u03bf\u03bc\u03ae \u03b5\u03bd\u03cc\u03c2 \u03cc\u03b3\u03ba\u03bf\u03c5 \u03c7\u03c9\u03c1\u03af\u03c2 \u03c0\u03c5\u03ba\u03bd\u03ad\u03c2 \u03b5\u03c4\u03b9\u03ba\u03ad\u03c4\u03b5\u03c2<\/h2>\n<p>\u0397 \u03b1\u03bd\u03b1\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7 \u03bf\u03bc\u03b1\u03b4\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b9\u03c2 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ad\u03c2 self-supervised \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03af\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b5 masked modeling, \u03b1\u03c0\u03bf\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03bf\u03c2, \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c0\u03b1\u03c1\u03b1\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 contrastive learning. \u03a3\u03c4\u03bf masked image modeling, \u03c4\u03bc\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03cc\u03b3\u03ba\u03bf\u03c5 \u03ba\u03c1\u03cd\u03b2\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b1 \u03b5\u03bb\u03bb\u03b5\u03af\u03c0\u03bf\u03bd\u03c4\u03b1 voxels. \u039c\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9 \u03cc\u03c0\u03c9\u03c2 3D MAE \u03ba\u03b1\u03b9 Swin UNETR \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03b5\u03c1\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c5\u03c4\u03ae\u03c2 \u03c4\u03b7\u03c2 \u03b9\u03b4\u03ad\u03b1\u03c2, \u03b5\u03bd\u03ce \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ad\u03c2 HU-based foreground masking \u03b1\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03bf\u03c5\u03bd \u03bd\u03b1 \u03c3\u03c0\u03b1\u03c4\u03b1\u03bb\u03bf\u03cd\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03c3\u03b5 \u03b1\u03ad\u03c1\u03b1 \u03ae background. \u03a4\u03b1 HybridMIM \u03ba\u03b1\u03b9 MiM \u03b4\u03bf\u03c5\u03bb\u03b5\u03cd\u03bf\u03c5\u03bd \u03c3\u03b5 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ad\u03c2 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf Masked Deformation Modeling \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c0\u03b5\u03b4\u03af\u03c9\u03bd \u03c0\u03b1\u03c1\u03b1\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7\u03c2.<\/p>\n<p>\u03a3\u03c4\u03bf contrastive learning, \u03c4\u03bf \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b8\u03b5\u03c4\u03b9\u03ba\u03ce\u03bd \u03ba\u03b1\u03b9 \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ce\u03bd \u03b6\u03b5\u03c5\u03b3\u03ce\u03bd. \u0394\u03cd\u03bf \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac crops \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03bf\u03c5\u03bd \u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf \u03b9\u03c3\u03c4\u03cc, \u03b5\u03bd\u03ce \u03bc\u03b9\u03b1 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03c9\u03bc\u03b1\u03bb\u03af\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03bf\u03bb\u03cd \u03bc\u03b9\u03ba\u03c1\u03ae. \u03a4\u03bf VoCo \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b7 \u03b8\u03ad\u03c3\u03b7 \u03c4\u03c9\u03bd crops \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b7 \u03b4\u03b9\u03ac\u03c4\u03b1\u03be\u03b7 \u03bf\u03c1\u03b3\u03ac\u03bd\u03c9\u03bd, \u03b5\u03bd\u03ce \u03ac\u03bb\u03bb\u03b5\u03c2 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9 \u03b5\u03b9\u03c3\u03ac\u03b3\u03bf\u03c5\u03bd \u03b3\u03b5\u03c9\u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2, \u03c4\u03bf\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ad\u03c2 \u03ae \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 eye-tracking \u03c0\u03c1\u03bf\u03c4\u03b5\u03c1\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2. Cross-dimensional \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03cc\u03c0\u03c9\u03c2 UniMiSS \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03bf\u03c5\u03bd 2D \u03ba\u03b1\u03b9 3D \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03b5\u03bd\u03ce \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03cc\u03c0\u03c9\u03c2 M3AE \u03ba\u03b1\u03b9 BrainMVP \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd \u03bf\u03bc\u03b1\u03b4\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 MRI \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b5\u03c2, \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03ba\u03ac\u03c0\u03bf\u03b9\u03b5\u03c2 \u03bb\u03b5\u03af\u03c0\u03bf\u03c5\u03bd.<\/p>\n<h2 id=\"glossa-kai-anatomia\">\u0397 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03b5\u03b8\u03b5\u03af \u03bc\u03b5 \u03b1\u03bd\u03b1\u03c4\u03bf\u03bc\u03af\u03b1, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03bc\u03b5 \u03ad\u03bd\u03b1 report<\/h2>\n<p>\u0397 \u03b1\u03c0\u03bb\u03ae \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03af\u03c7\u03b9\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf\u03c5 volume \u03bc\u03b5 \u03ad\u03bd\u03b1 report \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03b4\u03cd\u03bd\u03b1\u03bc\u03b7 \u03b2\u03ac\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03b5\u03c1\u03ae \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03b3\u03b5\u03af\u03c9\u03c3\u03b7. \u03a4\u03bf report \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03b1\u03c1\u03bd\u03ae\u03c3\u03b5\u03b9\u03c2, \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2, \u03c3\u03c5\u03bd\u03ce\u03bd\u03c5\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03c0\u03c5\u03ba\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1. \u0397 \u03b5\u03be\u03ad\u03bb\u03b9\u03be\u03b7 \u03c0\u03b5\u03c1\u03bd\u03ac \u03b1\u03c0\u03cc global alignment \u03c3\u03b5 lesion-aware, region-grounded \u03ba\u03b1\u03b9 hierarchical alignment: \u03bb\u03ad\u03be\u03b5\u03b9\u03c2, \u03c0\u03c1\u03bf\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2, \u03c5\u03c0\u03bf\u03b5\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03b1\u03bd\u03ac modality \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03ac\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1 \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7\u03c2.<\/p>\n<p>\u03a0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b1\u03bd\u03b1\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7\u03c2 \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7. UniBrain \u03ba\u03b1\u03b9 VELVET-Med \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd contrastive losses \u03c3\u03b5 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ac \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ac \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1, \u03b5\u03bd\u03ce \u03c4\u03bf HLIP \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03af\u03b1 slice-to-scan-to-study. \u03a4\u03bf SCALE-VLP \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c7\u03c9\u03c1\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03bf\u03c7\u03ae \u03bc\u03b5 embeddings \u03b9\u03b1\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u03b3\u03bd\u03ce\u03c3\u03b7\u03c2, \u03c4\u03bf BrgSA \u03b5\u03b9\u03c3\u03ac\u03b3\u03b5\u03b9 knowledge bank \u03c3\u03c5\u03bd\u03bf\u03c8\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03b1\u03c0\u03cc LLM \u03ba\u03b1\u03b9 \u03c4\u03bf ViSD-Boost \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c0\u03b1\u03b8\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03ba\u03bb\u03af\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03b7 \u03c6\u03c5\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b5\u03bc\u03c6\u03ac\u03bd\u03b9\u03c3\u03b7. \u03a4\u03bf \u03ba\u03bf\u03b9\u03bd\u03cc \u03bc\u03ae\u03bd\u03c5\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b3\u03bb\u03c9\u03c3\u03c3\u03b9\u03ba\u03ae \u03b4\u03b9\u03b5\u03c0\u03b1\u03c6\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03c0\u03ad\u03bc\u03c0\u03b5\u03b9 \u03c3\u03b5 \u03bd\u03cc\u03c3\u03bf, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae, \u03b2\u03bb\u03ac\u03b2\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03bf\u03bc\u03ae report, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-band-kicker\">\u039f \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b7\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03c4\u03bf\u03c5 model choice<\/p>\n<h3>\u03a4\u03bf claim \u03ba\u03b1\u03b8\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c0\u03bf\u03b9\u03bf evidence \u03b4\u03b5\u03bd \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03c7\u03b1\u03b8\u03b5\u03af<\/h3>\n<p>\u0391\u03bd \u03c4\u03bf use case \u03b1\u03c6\u03bf\u03c1\u03ac \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 \u03b2\u03bb\u03ac\u03b2\u03b7\u03c2, \u03c0\u03bb\u03b5\u03c5\u03c1\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1, \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03b3\u03b5\u03b9\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03b4\u03bf\u03bc\u03ae \u03ae \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03c3\u03c4\u03bf\u03bd \u03c7\u03c1\u03cc\u03bd\u03bf, \u03c4\u03bf design \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03bf volumetric \u03ba\u03b1\u03b9 acquisition context. \u0391\u03bd \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b5\u03af\u03be\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae, \u03ad\u03bd\u03b1 \u03ba\u03b1\u03bb\u03bf\u03b3\u03c1\u03b1\u03bc\u03bc\u03ad\u03bd\u03bf report \u03b4\u03b5\u03bd \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03c4\u03bf \u03ba\u03b5\u03bd\u03cc.<\/p>\n<\/div>\n<h2 id=\"visual-tokens\">\u03a4\u03bf \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf bottleneck: \u03c0\u03bf\u03b9\u03b1 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ac tokens \u03b5\u03c0\u03b9\u03b2\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd<\/h2>\n<p>\u0388\u03bd\u03b1 \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 3D scan \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 \u03c0\u03bf\u03bb\u03cd \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b1\u03c0\u03cc \u03cc\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b5\u03c7\u03b8\u03b5\u03af \u03c4\u03bf context \u03b5\u03bd\u03cc\u03c2 \u03c3\u03b7\u03bc\u03b5\u03c1\u03b9\u03bd\u03bf\u03cd LLM. \u0397 \u03c3\u03c5\u03bc\u03c0\u03af\u03b5\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ae \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u00b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7. \u0391\u03bd \u03bf \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03b5\u03b9 \u03c4\u03b9\u03c2 \u00ab\u03c4\u03c5\u03c0\u03b9\u03ba\u03ad\u03c2\u00bb \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c1\u03c1\u03af\u03c8\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc \u03b1\u03bb\u03bb\u03ac \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1, \u03b7 downstream \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ac\u03c1\u03c4\u03b9\u03b1 \u03b4\u03b9\u03b1\u03c4\u03c5\u03c0\u03c9\u03bc\u03ad\u03bd\u03b7 \u03b1\u03bb\u03bb\u03ac \u03b1\u03bd\u03b1\u03ba\u03c1\u03b9\u03b2\u03ae\u03c2. \u0397 \u03b1\u03bd\u03b1\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7 \u03b4\u03b9\u03b1\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 2D-native \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1, slice-sequence \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03af\u03c3\u03b5\u03b9\u03c2, \u03c5\u03b2\u03c1\u03b9\u03b4\u03b9\u03ba\u03ad\u03c2 2D\/3D \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 native 3D \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1.<\/p>\n<p>\u039c\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9 \u03cc\u03c0\u03c9\u03c2 MedPruner \u03bc\u03b1\u03b8\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03b9\u03ba\u03cc pruning \u03c4\u03bf\u03bc\u03ce\u03bd \u03ba\u03b1\u03b9 patches, \u03c4\u03bf Photon \u03c0\u03c1\u03bf\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1\u03c4\u03af\u03b6\u03b5\u03b9 visual tokens \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b1 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf BTB3D \u03b5\u03c0\u03b1\u03bd\u03b1\u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf volumetric tokenization \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03af\u03c3\u03bf\u03b4\u03bf \u03c3\u03c4\u03bf LLM. \u03a4\u03b1 Med-2E3 \u03ba\u03b1\u03b9 mpLLM \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03c4\u03bf routing \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03ae \u03c4\u03b7 modality. \u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c3\u03c5\u03bc\u03c0\u03af\u03b5\u03c3\u03b7\u03c2, \u03b5\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2, \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 aggregate score: \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03ad\u03c2 \u03b2\u03bb\u03ac\u03b2\u03b5\u03c2, \u03c7\u03c9\u03c1\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1.<\/p>\n<h2 id=\"grounding-training\">\u0397 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b1\u03bc\u03b5\u03af\u03b2\u03b5\u03b9 \u03c4\u03b7 \u03b3\u03b5\u03af\u03c9\u03c3\u03b7, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03b7\u03bd \u03b5\u03c5\u03c7\u03ad\u03c1\u03b5\u03b9\u03b1<\/h2>\n<p>\u03a3\u03c4\u03b7\u03bd volumetric radiology, \u03b7 \u03bc\u03af\u03bc\u03b7\u03c3\u03b7 \u03ba\u03b1\u03bb\u03ce\u03bd \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03c9\u03bd \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af. Grounding-aware multi-task training \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 report generation \u03bc\u03b5 classification, localization, segmentation \u03ae region description. \u03a4\u03bf Reg2RG \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03bc\u03b5 regions \u03ba\u03b1\u03b9 masks, \u03c4\u03bf MedRegion-CT \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af region tokens \u03b1\u03c0\u03cc pseudo-masks, \u03c4\u03bf PETAR \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 PET, CT \u03ba\u03b1\u03b9 lesion masks, \u03b5\u03bd\u03ce \u03c4\u03bf RadSight \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03c3\u03b5 \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03af\u03b1 \u03b1\u03c0\u03cc attributes \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03b9\u03ba\u03ae \u03b1\u03bd\u03c4\u03af\u03bb\u03b7\u03c8\u03b7 \u03ad\u03c9\u03c2 diagnosis \u03ba\u03b1\u03b9 report. \u03a4\u03bf CLarGen \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf template collapse \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03c2 \u03c4\u03b7\u03bd \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03b1\u03bd\u03af\u03c7\u03bd\u03b5\u03c5\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03b3\u03bb\u03c9\u03c3\u03c3\u03b9\u03ba\u03ae \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7.<\/p>\n<p>\u0397 reinforcement-style \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03c9\u03c2 \u03bc\u03ad\u03c3\u03bf \u03b3\u03b9\u03b1 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf\u03c5\u03c2 \u03c3\u03c4\u03cc\u03c7\u03bf\u03c5\u03c2. \u03a4\u03bf Med3D-R1, \u03c4\u03bf TIF-GRPO \u03ba\u03b1\u03b9 \u03c4\u03bf E-MRL \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03c5\u03bd rewards \u03bc\u03b5 \u03bf\u03c1\u03b8\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b5\u03bd\u03c4\u03cc\u03c0\u03b9\u03c3\u03b7, \u03b1\u03bd\u03b1\u03c4\u03bf\u03bc\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1 \u03ae cross-view verification. \u0397 \u03b1\u03be\u03af\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b1\u03ba\u03c1\u03cd\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b1\u03bb\u03c5\u03c3\u03af\u03b4\u03b5\u03c2 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03bf\u03cd, \u03b1\u03bb\u03bb\u03ac \u03bd\u03b1 \u03c4\u03b9\u03bc\u03c9\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf\u03bd \u03cc\u03b3\u03ba\u03bf. \u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03c4\u03b1 3D instruction datasets \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ac, \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c0\u03b1\u03b3\u03ce\u03bd\u03bf\u03c5\u03bd encoder \u03ae LLM \u03ba\u03b1\u03b9 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03bf\u03c5\u03bd projectors, LoRA \u03ae \u03ac\u03bb\u03bb\u03bf\u03c5\u03c2 \u03b5\u03bb\u03b1\u03c6\u03c1\u03bf\u03cd\u03c2 adapters.<\/p>\n<h2 id=\"ai-agents-radiologia\">\u0393\u03b9\u03b1\u03c4\u03af \u03bf\u03b9 AI agents \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03c4\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2<\/h2>\n<p>\u0388\u03bd\u03b1 single-pass MLLM \u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c0\u03c1\u03bf\u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf input \u03ba\u03b1\u03b9 prompt \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 output. \u0388\u03bd\u03b1\u03c2 agent \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03c3\u03b5\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03c3\u03b5\u03b9\u03c1\u03ac, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae \u03ae \u03c6\u03ac\u03c3\u03b7 \u03b8\u03b1 \u03b5\u03c0\u03b9\u03b8\u03b5\u03c9\u03c1\u03ae\u03c3\u03b5\u03b9, \u03bd\u03b1 \u03ba\u03b1\u03bb\u03ad\u03c3\u03b5\u03b9 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf segmentation \u03ae \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7\u03c2, \u03bd\u03b1 \u03b1\u03bd\u03b1\u03ba\u03c4\u03ae\u03c3\u03b5\u03b9 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7 \u03b5\u03be\u03ad\u03c4\u03b1\u03c3\u03b7, \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9 \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03b8\u03b5\u03c9\u03c1\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03b4\u03c5\u03bd\u03b1\u03c4\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd: reasoning \u03ba\u03b1\u03b9 planning, tool-augmented perception \u03ba\u03b1\u03b9 grounded action, memory \u03ba\u03b1\u03b9 dynamic context management, \u03ba\u03b1\u03b8\u03ce\u03c2 \u03ba\u03b1\u03b9 workflow interaction \u03bc\u03b5 multi-agent collaboration.<\/p>\n<p>\u03a3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03cc\u03c0\u03c9\u03c2 CT-Agent, 3DMedAgent \u03ba\u03b1\u03b9 RadAgent \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd targeted inspection \u03ba\u03b1\u03b9 \u03c0\u03bf\u03bb\u03c5\u03b2\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc reasoning. MedToolica, AgentMRI, VoxelPrompt \u03ba\u03b1\u03b9 MedSAM-Agent \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03c5\u03bd agents \u03bc\u03b5 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03b1\u03bd\u03c4\u03af\u03bb\u03b7\u03c8\u03b7\u03c2, reconstruction, \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7\u03c2 \u03ae segmentation. Neuro-Oracle, TheraAgent \u03ba\u03b1\u03b9 BT-RADS Agent \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03bf\u03c5\u03bd retrieval, \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 longitudinal state. CT-Flow, Radiologist Copilot \u03ba\u03b1\u03b9 \u03ac\u03bb\u03bb\u03b5\u03c2 orchestrated \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03af\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c4\u03bf\u03c7\u03b5\u03cd\u03bf\u03c5\u03bd report, protocol management, dosimetry \u03ae treatment planning. \u0391\u03c5\u03c4\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ac \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ce\u03bd \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ce\u03bd, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03ce\u03c1\u03b9\u03bc\u03b7\u03c2 \u03b1\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03b7\u03c2 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b7\u03c2.<\/p>\n<h2 id=\"tool-use-provenance\">\u03a4\u03bf tool use \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 provenance \u03ba\u03b1\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1\u03c2<\/h2>\n<p>\u0397 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03ae\u03c2 \u03ba\u03bb\u03ae\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf agent \u03b5\u03c0\u03ad\u03bb\u03b5\u03be\u03b5 \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf, \u03ad\u03b4\u03c9\u03c3\u03b5 \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03bf\u03c5\u03c2, \u03b5\u03c1\u03bc\u03ae\u03bd\u03b5\u03c5\u03c3\u03b5 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c4\u03b7\u03bd \u03ad\u03be\u03bf\u03b4\u03bf \u03ae \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c1\u03b9\u03c3\u03b5 \u03c4\u03b7\u03bd \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1. \u03a3\u03b5 \u03ad\u03bd\u03b1 volumetric workflow, \u03ad\u03bd\u03b1 \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1 \u03c3\u03b5 segmentation \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b5\u03c1\u03ac\u03c3\u03b5\u03b9 \u03c3\u03b5 volumetry, \u03c3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03c3\u03b5 \u03b4\u03b9\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ac \u03c3\u03b5 report. \u0391\u03bd \u03b4\u03b5\u03bd \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af\u03c4\u03b1\u03b9 provenance, \u03bf \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf\u03c2 \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03b5\u03cd\u03ba\u03bf\u03bb\u03b1 \u03bd\u03b1 \u03b2\u03c1\u03b5\u03b9 \u03b1\u03c0\u03cc \u03c0\u03bf\u03cd \u03c0\u03c1\u03bf\u03ad\u03ba\u03c5\u03c8\u03b5 \u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2.<\/p>\n<p>\u0397 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ac \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b5\u03bd\u03bf\u03c1\u03c7\u03ae\u03c3\u03c4\u03c1\u03c9\u03c3\u03b7 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03b1\u03c6\u03ae \u03c0\u03b7\u03b3\u03ae\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd, \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf\u03c5, \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03c9\u03bd, \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03c9\u03bd outputs \u03ba\u03b1\u03b9 \u03bb\u03cc\u03b3\u03bf\u03c5 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03c3\u03b1\u03c6\u03ad\u03c2 failure handling: \u03c0\u03cc\u03c4\u03b5 \u03bf agent \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7, \u03c0\u03cc\u03c4\u03b5 \u03b6\u03b7\u03c4\u03ac \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 \u03c6\u03ac\u03c3\u03b7, \u03c0\u03cc\u03c4\u03b5 \u03b1\u03c0\u03bf\u03c1\u03c1\u03af\u03c0\u03c4\u03b5\u03b9 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03cc\u03c4\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b4\u03af\u03b4\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c3\u03b5 \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf. \u0397 \u03b1\u03bd\u03b1\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7 \u03c4\u03bf\u03bd\u03af\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b9 planning traces \u03ba\u03b1\u03b9 tool trajectories \u03c3\u03c5\u03bd\u03ae\u03b8\u03c9\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03ad\u03bc\u03bc\u03b5\u03c3\u03b1 \u03ae \u03b1\u03bd\u03b1\u03b4\u03c1\u03bf\u03bc\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03b1\u03ba\u03cc\u03bc\u03b7 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 faithful control. \u0397 \u03b1\u03c0\u03b1\u03af\u03c4\u03b7\u03c3\u03b7 \u03b1\u03c5\u03c4\u03ae \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03ac\u03bc\u03b5\u03c3\u03b1 \u03bc\u03b5 \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/ai-oikonomika-audit-trail-kdaf\/\">audit trails \u03c3\u03b5 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b1 AI workflows<\/a> \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc action path.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>\u03a4\u03bf log \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03b9 \u03c3\u03c5\u03bd\u03ad\u03b2\u03b7, \u03cc\u03c7\u03b9 \u03c4\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03ba \u03c4\u03c9\u03bd \u03c5\u03c3\u03c4\u03ad\u03c1\u03c9\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf.<\/strong> \u0393\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03ae segmentation \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 source study, series \u03ba\u03b1\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03cc \u03c3\u03b7\u03bc\u03b5\u03af\u03bf, \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf\u03c5, \u03c0\u03b1\u03c1\u03ac\u03bc\u03b5\u03c4\u03c1\u03bf\u03b9, \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1, validation state \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf override. \u03a7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c5\u03c4\u03ac, \u03c4\u03bf provenance \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c6\u03ae\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 audit record.<\/p>\n<\/aside>\n<h2 id=\"mnimi-longitudinal-reasoning\">\u039c\u03bd\u03ae\u03bc\u03b7 \u03ba\u03b1\u03b9 longitudinal reasoning: \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 \u03b1\u03bb\u03bb\u03ac \u03b5\u03c5\u03b1\u03af\u03c3\u03b8\u03b7\u03c4\u03b1<\/h2>\n<p>\u0397 \u03bc\u03bd\u03ae\u03bc\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03b7 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c0\u03c1\u03b9\u03bd \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03ac, \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03b2\u03bb\u03ac\u03b2\u03b5\u03c2 \u03ae \u03b5\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03ce\u03bd\u03b5\u03b9 \u03b8\u03b5\u03c1\u03b1\u03c0\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf. \u03a9\u03c3\u03c4\u03cc\u03c3\u03bf, \u03b7 \u03b1\u03c0\u03bb\u03ae \u03b1\u03c0\u03bf\u03b8\u03ae\u03ba\u03b5\u03c5\u03c3\u03b7 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03c9\u03bd \u03b5\u03c5\u03c1\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd \u03b4\u03b5\u03bd \u03b5\u03b3\u03b3\u03c5\u03ac\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b7. \u03a0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03b9\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b7 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03b2\u03bb\u03ac\u03b2\u03b7\u03c2, \u03b7 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03ac\u03bc\u03bc\u03b9\u03c3\u03b7, \u03b7 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03c1\u03c9\u03c4\u03bf\u03ba\u03cc\u03bb\u03bb\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b7 \u03c0\u03c1\u03bf\u03ad\u03bb\u03b5\u03c5\u03c3\u03b7 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2. \u0394\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc slice thickness, MRI sequence \u03ae CT phase \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03bb\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03bc\u03c6\u03ac\u03bd\u03b9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c0\u03bf\u03c3\u03bf\u03c4\u03b9\u03ba\u03cc \u03bd\u03cc\u03b7\u03bc\u03b1.<\/p>\n<p>\u0393\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd persistent AI assistants, \u03b1\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1. \u0397 \u03bc\u03bd\u03ae\u03bc\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf context. \u0395\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03b9\u03bc\u03b5\u03bb\u03b7\u03bc\u03ad\u03bd\u03b7 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03bc\u03b5 \u03c0\u03b7\u03b3\u03ad\u03c2, timestamps, validity rules \u03ba\u03b1\u03b9 \u03b4\u03b9\u03ba\u03b1\u03af\u03c9\u03bc\u03b1 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7\u03c2. \u03a3\u03c4\u03b7\u03bd \u03b1\u03ba\u03c4\u03b9\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bc\u03b9\u03b1\u03c2 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7\u03c2 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03af\u03c7\u03b9\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03b4\u03b9\u03b1\u03af\u03c4\u03b5\u03c1\u03b1 \u03c5\u03c8\u03b7\u03bb\u03cc, \u03b3\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03b7 \u03b1\u03bd\u03b1\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7 \u03b8\u03b5\u03c9\u03c1\u03b5\u03af \u03cc\u03c4\u03b9 source attribution, temporal comparability \u03ba\u03b1\u03b9 lesion correspondence \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03b1\u03bd\u03b5\u03c0\u03b1\u03c1\u03ba\u03ce\u03c2 \u03b5\u03c0\u03b9\u03ba\u03c5\u03c1\u03c9\u03bc\u03ad\u03bd\u03b1.<\/p>\n<h2 id=\"claim-design-validation\">\u03a4\u03bf Claim\u2013Design\u2013Validation \u03c9\u03c2 \u03c6\u03af\u03bb\u03c4\u03c1\u03bf \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1\u03c2<\/h2>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03bf\u03c5\u03bd \u03ad\u03bd\u03b1 \u03b1\u03c0\u03bb\u03cc \u03b1\u03bb\u03bb\u03ac \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc \u03c4\u03c1\u03af\u03c0\u03c4\u03c5\u03c7\u03bf. \u03a4\u03bf Claim \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1: \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7, \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03cc \u03cc\u03c6\u03b5\u03bb\u03bf\u03c2 \u03ae \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1. \u03a4\u03bf Design \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b1\u03bd \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2, \u03c4\u03b1 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1, \u03c4\u03b7 \u03bc\u03bd\u03ae\u03bc\u03b7, \u03c4\u03bf planning \u03ba\u03b1\u03b9 \u03c4\u03bf human handoff \u03c0\u03bf\u03c5 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03bf \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2. \u03a4\u03bf Validation \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03c4\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae\u03c2, \u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac \u03c1\u03b5\u03b1\u03bb\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b5\u03cd\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 claim.<\/p>\n<p>\u0388\u03bd\u03b1 \u03c5\u03c8\u03b7\u03bb\u03cc score \u03c3\u03b5 visual question answering \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 diagnostic reporting. \u039a\u03b1\u03bb\u03ae \u03bf\u03bc\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b5\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 \u03bc\u03b5 BLEU, ROUGE, METEOR, CIDEr \u03ae BERTScore \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7 \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1. \u0388\u03bd\u03b1 \u03c5\u03c8\u03b7\u03bb\u03cc AUROC \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03ba\u03b1\u03bb\u03ae calibration \u03ae \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ac \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03cc \u03bf\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1. \u039a\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ac \u03c3\u03c9\u03c3\u03c4\u03ae \u03bc\u03ac\u03c3\u03ba\u03b1 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc workflow \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c6\u03cc\u03c1\u03c4\u03bf \u03ae \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7. \u03a4\u03bf framework \u03b2\u03bf\u03b7\u03b8\u03ac buyers \u03ba\u03b1\u03b9 evaluators \u03bd\u03b1 \u03b6\u03b7\u03c4\u03bf\u03cd\u03bd \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b7 \u03bc\u03b5 \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc use case \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03ad\u03bd\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc benchmark \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1.<\/p>\n<h2 id=\"efarmoges-apodeixi\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ce\u03bd, \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03b1\u03c0\u03b1\u03b9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7\u03c2<\/h2>\n<p>\u03a3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03b3\u03bd\u03c9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ac, \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03bf\u03c1\u03b8\u03cc\u03c4\u03b7\u03c4\u03b1, \u03c0\u03bb\u03b7\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1, \u03c7\u03c9\u03c1\u03b9\u03ba\u03ae \u03b3\u03b5\u03af\u03c9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03bf\u03af\u03c7\u03b9\u03c3\u03b7 \u03ba\u03ac\u03b8\u03b5 \u03b3\u03bb\u03c9\u03c3\u03c3\u03b9\u03ba\u03bf\u03cd \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd \u03bc\u03b5 evidence. \u03a3\u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b3\u03bd\u03c9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03c4\u03b1\u03c0\u03cc\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c3\u03c4\u03b7 \u03b8\u03b5\u03c1\u03b1\u03c0\u03b5\u03af\u03b1, \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae endpoints, prediction horizon, cohort construction, \u03c7\u03b5\u03b9\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 censoring \u03ba\u03b1\u03b9 competing events, \u03ba\u03b1\u03b8\u03ce\u03c2 \u03ba\u03b1\u03b9 calibration \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc discrimination. \u039a\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03b1 \u03cc\u03c0\u03c9\u03c2 RECIST, PERCIST \u03ba\u03b1\u03b9 RANO \u03ad\u03c7\u03bf\u03c5\u03bd \u03bd\u03cc\u03b7\u03bc\u03b1 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac \u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2.<\/p>\n<p>\u03a3\u03c4\u03bf\u03bd \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc \u03ba\u03b1\u03b9 clinical decision support, \u03b7 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03bd\u03cc\u03c2 \u03b5\u03c0\u03b9\u03bc\u03ad\u03c1\u03bf\u03c5\u03c2 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf\u03c5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03b5\u03b8\u03b5\u03af \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03c4\u03b5\u03bb\u03b9\u03ba\u03bf\u03cd \u03c0\u03bb\u03ac\u03bd\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1. \u03a3\u03c4\u03b1 cross-task \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1, \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03b1\u03bd \u03ad\u03bd\u03b1 upstream \u03bb\u03ac\u03b8\u03bf\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b4\u03af\u03b4\u03b5\u03c4\u03b1\u03b9, \u03b1\u03bd\u03b9\u03c7\u03bd\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03ae \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03c3\u03b5\u03b9 downstream claim. \u0397 \u03b1\u03bd\u03b1\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7 \u03b4\u03b9\u03b1\u03c0\u03b9\u03c3\u03c4\u03ce\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b5\u03c2 \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03b5\u03c6\u03b9\u03ba\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1, \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b1\u03bd\u03b8\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc\u03c2 workflow benefit \u03ae \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1. \u0393\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/ai-agents-behavioral-testing\/\">behavioral tests \u03b3\u03b9\u03b1 AI agents<\/a> \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c4\u03bf\u03c7\u03b5\u03cd\u03bf\u03c5\u03bd \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 failure modes \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03bc\u03ad\u03c3\u03bf\u03c5\u03c2 \u03cc\u03c1\u03bf\u03c5\u03c2.<\/p>\n<h2 id=\"benchmarks-keno\">\u03a4\u03b1 benchmarks \u03c0\u03c1\u03bf\u03c7\u03c9\u03c1\u03bf\u03cd\u03bd, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03ba\u03bb\u03b5\u03af\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf \u03ba\u03b5\u03bd\u03cc<\/h2>\n<p>\u03a0\u03cc\u03c1\u03bf\u03b9 \u03cc\u03c0\u03c9\u03c2 RadGenome-Chest CT, AutoRG-Brain \u03ba\u03b1\u03b9 ReXGroundingCT \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03c5\u03bd \u03b5\u03bb\u03b5\u03cd\u03b8\u03b5\u03c1\u03bf \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03bc\u03b5 \u03b1\u03bd\u03b1\u03c4\u03bf\u03bc\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ad\u03c2 \u03ae lesion masks. \u03a4\u03bf CT-SpatialVQA \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03c7\u03c9\u03c1\u03b9\u03ba\u03cc reasoning, \u03c4\u03bf ReportQA \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af \u03c4\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 reports \u03bc\u03ad\u03c3\u03b1 \u03b1\u03c0\u03cc \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2, \u03ba\u03b1\u03b9 \u03c4\u03bf Perception-Bench \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03bb\u03ac\u03b8\u03b7 \u03b1\u03c0\u03cc attributes \u03ba\u03b1\u03b9 grounding \u03ad\u03c9\u03c2 diagnosis \u03ba\u03b1\u03b9 report. \u03a4\u03bf MedReCo-DB \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 retrieval \u03ba\u03b1\u03b9 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7\u03c2-\u03c4\u03c1\u03ad\u03c7\u03bf\u03c5\u03c3\u03b1\u03c2 \u03b5\u03be\u03ad\u03c4\u03b1\u03c3\u03b7\u03c2 \u03c3\u03b5 \u03b5\u03c0\u03c4\u03ac modalities, \u03b5\u03bd\u03ce MedIF-Bench \u03ba\u03b1\u03b9 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03cc\u03c0\u03c9\u03c2 ABRA \u03ae MedCTA \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03bf\u03c5\u03bd instruction following \u03ba\u03b1\u03b9 tool-agent \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac.<\/p>\n<p>\u03a0\u03b1\u03c1\u03cc\u03bb\u03b1 \u03b1\u03c5\u03c4\u03ac, \u03ba\u03ac\u03b8\u03b5 benchmark \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7\u03c2 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7\u03c2. External validation \u03bc\u03b5\u03c4\u03b1\u03be\u03cd \u03b9\u03b4\u03c1\u03c5\u03bc\u03ac\u03c4\u03c9\u03bd \u03ba\u03b1\u03b9 acquisition settings, subgroup analysis, contamination control, reader studies, prospective workflow measurement \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 human handoff \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1. \u0397 expert review \u03b5\u03be\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b1\u03b3\u03ba\u03b1\u03af\u03b1 \u03cc\u03c4\u03b1\u03bd \u03bf\u03b9 \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ad\u03c2 \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03b9\u03ce\u03c3\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1\u03c2 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ac \u03c3\u03c9\u03c3\u03c4\u03cc\u03c2 \u03ba\u03b1\u03b9 \u03b9\u03c7\u03bd\u03b7\u03bb\u03b1\u03c4\u03ae\u03c3\u03b9\u03bc\u03bf\u03c2 \u03c3\u03c4\u03b7\u03bd \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b7 volumetric evidence. \u0397 <a href=\"https:\/\/twodots.gr\/ai-ygeias-epikoinonia-asthenous-triage\/\">\u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1 \u03c3\u03b5 health-tech AI<\/a> \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7\u03c2 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2, \u03cc\u03c7\u03b9 \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc \u03c3\u03c7\u03cc\u03bb\u03b9\u03bf \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf deployment.<\/p>\n<h2 id=\"acquisition-aware-ai\">Acquisition-aware AI: \u03c4\u03b1 metadata \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03ad\u03bd\u03bd\u03bf\u03b9\u03b1\u03c2<\/h2>\n<p>\u03a4\u03bf CT phase, \u03c4\u03bf reconstruction kernel, \u03b7 MRI sequence, \u03c4\u03bf slice thickness \u03ba\u03b1\u03b9 \u03c4\u03bf scanner protocol \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c6\u03b5\u03c1\u03b5\u03b9\u03b1\u03ba\u03ac metadata. \u0391\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03c0\u03b7\u03b3\u03ad\u03c2 domain shift \u03ba\u03b1\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b3\u03bd\u03c9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03bc\u03b9\u03b1\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1\u03c2. \u039c\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9 \u03cc\u03c0\u03c9\u03c2 MR-CLIP \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd DICOM metadata \u03b3\u03b9\u03b1 semantic alignment, \u03b5\u03bd\u03ce \u03c4\u03bf M3AE \u03bc\u03b1\u03b8\u03b1\u03af\u03bd\u03b5\u03b9 \u03b1\u03c0\u03cc multi-sequence MRI. \u0397 \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ae volumetric AI, \u03c3\u03cd\u03bc\u03c6\u03c9\u03bd\u03b1 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7, \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03c4\u03bf\u03bc\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03b7 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ae \u03c4\u03b7\u03c2 \u03bb\u03ae\u03c8\u03b7\u03c2.<\/p>\n<p>\u03a7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7, \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ae \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03b1\u03b3\u03bd\u03bf\u03ce\u03bd\u03c4\u03b1\u03c2 \u03c4\u03b9\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03ba\u03ac\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03ad\u03b3\u03ba\u03c5\u03c1\u03bf. \u0393\u03b9\u03b1 product teams \u03b1\u03c5\u03c4\u03cc \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf data contract \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1 pixels \u03ba\u03b1\u03b9 \u03c3\u03b5 \u03ad\u03bd\u03b1 report. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03c0\u03bb\u03b7\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 DICOM, \u03c0\u03c1\u03c9\u03c4\u03bf\u03ba\u03cc\u03bb\u03bb\u03bf\u03c5, \u03c3\u03b5\u03b9\u03c1\u03ac\u03c2, \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03bf\u03cd \u03c3\u03b7\u03bc\u03b5\u03af\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03c3\u03c7\u03b5\u03c4\u03b9\u03c3\u03bc\u03ad\u03bd\u03c9\u03bd \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ce\u03bd \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03c9\u03bd, \u03bc\u03b5 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c4\u03b9 \u03c3\u03c5\u03bc\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b1\u03c5\u03c4\u03ac \u03b1\u03c0\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03ae \u03c3\u03c5\u03b3\u03ba\u03c1\u03bf\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9.<\/p>\n<h2 id=\"pilot-agora\">\u03a4\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1\u03c2 \u03bf\u03c1\u03b3\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc pilot \u03ae \u03b1\u03b3\u03bf\u03c1\u03ac<\/h2>\n<p>\u0397 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c4\u03b7\u03c2 \u03b1\u03bd\u03b1\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7\u03c2 \u03b1\u03c1\u03c7\u03af\u03b6\u03b5\u03b9 \u03bc\u03b5 claim inventory. \u03a0\u03bf\u03b9\u03b1 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1; \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 volume \u03ae \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2; \u03a0\u03bf\u03b9\u03b5\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2, \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 acquisition metadata \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03b1; \u03a0\u03bf\u03b9\u03bf\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b5\u03b9 \u03c4\u03bf evidence path \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf\u03c2 \u03ad\u03c7\u03b5\u03b9 \u03c4\u03bf \u03b4\u03b9\u03ba\u03b1\u03af\u03c9\u03bc\u03b1 override; \u0391\u03c5\u03c4\u03ad\u03c2 \u03bf\u03b9 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2 \u03b5\u03bd\u03cc\u03c2 \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03bf\u03cd generalist model.<\/p>\n<p>\u03a3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 design review: native 3D \u03ae hybrid representation, \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae token compression, grounding supervision, \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1, provenance, \u03bc\u03bd\u03ae\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03cc\u03c1\u03b9\u03b1 agent. \u03a4\u03ad\u03bb\u03bf\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 validation plan \u03b1\u03bd\u03ac claim: external sites, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac scanners \u03ba\u03b1\u03b9 \u03c0\u03c1\u03c9\u03c4\u03cc\u03ba\u03bf\u03bb\u03bb\u03b1, calibration, clinically meaningful error analysis, correction burden, \u03c7\u03c1\u03cc\u03bd\u03bf workflow \u03ba\u03b1\u03b9 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1\u03c2. \u03a3\u03b5 \u03c1\u03c5\u03b8\u03bc\u03b9\u03b6\u03cc\u03bc\u03b5\u03bd\u03bf \u03b9\u03b1\u03c4\u03c1\u03bf\u03c4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03cc \u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03b9\u03ba\u03cc, \u03c4\u03bf \u03c0\u03bb\u03ac\u03bd\u03bf \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bd\u03c4\u03ac\u03c3\u03c3\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf \u03c4\u03bf\u03bd \u03ba\u03cd\u03ba\u03bb\u03bf \u03b6\u03c9\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf \u03b4\u03b7\u03bb\u03c9\u03bc\u03ad\u03bd\u03bf intended use, \u03cc\u03c0\u03c9\u03c2 \u03c5\u03c0\u03bf\u03b3\u03c1\u03b1\u03bc\u03bc\u03af\u03b6\u03bf\u03c5\u03bd \u03bf\u03b9 <a href=\"https:\/\/www.fda.gov\/medical-devices\/software-medical-device-samd\/good-machine-learning-practice-medical-device-development-guiding-principles\" target=\"_blank\" rel=\"noopener\">\u03b1\u03c1\u03c7\u03ad\u03c2 Good Machine Learning Practice \u03c4\u03bf\u03c5 FDA<\/a>. \u0391\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03bc\u03b5\u03c4\u03ac\u03c6\u03c1\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 framework \u03c4\u03c9\u03bd \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03c9\u03bd, \u03cc\u03c7\u03b9 checklist \u03c0\u03bf\u03c5 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c9\u03c2 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0395\u03c0\u03c4\u03ac \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc radiology AI pilot<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 \u03c3\u03c4\u03b5\u03bd\u03cc \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf claim<\/strong>\n<p>\u039e\u03b5\u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 \u03b1\u03bd \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ba\u03ac\u03bd\u03b5\u03b9 triage, \u03b5\u03bd\u03c4\u03cc\u03c0\u03b9\u03c3\u03b7, \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7, \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7, report drafting \u03ae treatment planning. \u039a\u03ac\u03b8\u03b5 claim \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc evidence \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc validation.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 2<\/span><strong>\u03a7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf \u03b5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03bf \u03b1\u03bd\u03b1\u03b3\u03ba\u03b1\u03af\u03bf evidence<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 volume, \u03c6\u03ac\u03c3\u03b5\u03b9\u03c2, sequences, \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2, acquisition metadata \u03ba\u03b1\u03b9 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03cc context \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03c7\u03b1\u03b8\u03bf\u03cd\u03bd \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 3<\/span><strong>\u0395\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 representation \u03ba\u03b1\u03b9 token compression<\/strong>\n<p>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03b1\u03bd \u03bc\u03b9\u03ba\u03c1\u03ad\u03c2 \u03b2\u03bb\u03ac\u03b2\u03b5\u03c2, \u03c7\u03c9\u03c1\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 longitudinal \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03b5\u03c0\u03b9\u03b2\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd \u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae encoder, visual tokens \u03ba\u03b1\u03b9 language interface.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 4<\/span><strong>\u039a\u03ac\u03bd\u03c4\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf replayable<\/strong>\n<p>\u03a6\u03c5\u03bb\u03ac\u03be\u03c4\u03b5 source study, tool version, parameters, intermediate output \u03ba\u03b1\u03b9 validation state \u03ce\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 segmentation \u03ae \u03bc\u03b9\u03b1 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c7\u03b8\u03b5\u03af.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 5<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 propagation \u03ba\u03b1\u03b9 failure handling<\/strong>\n<p>\u0395\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 \u03b1\u03bd \u03ad\u03bd\u03b1 upstream \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1 \u03bc\u03b5\u03c4\u03b1\u03b4\u03af\u03b4\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf report, \u03b1\u03bd \u03b1\u03bd\u03b9\u03c7\u03bd\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03b5\u03b3\u03ba\u03b1\u03af\u03c1\u03c9\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf fallback \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ac \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc claim.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 6<\/span><strong>\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 \u03bf\u03c1\u03b1\u03c4\u03cc human handoff<\/strong>\n<p>\u039f \u03b1\u03ba\u03c4\u03b9\u03bd\u03bf\u03bb\u03cc\u03b3\u03bf\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 evidence, uncertainty, limitations \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 override. \u0397 <a href=\"https:\/\/twodots.gr\/enterprise-ai-harnesses-diakyvernisi-architektoniki\/\">\u03b4\u03b9\u03b1\u03ba\u03c5\u03b2\u03ad\u03c1\u03bd\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2<\/a>.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 7<\/span><strong>\u0395\u03c0\u03b9\u03ba\u03c5\u03c1\u03ce\u03c3\u03c4\u03b5 \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc workflow<\/strong>\n<p>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 external robustness, correction burden, \u03c7\u03c1\u03cc\u03bd\u03bf review, subgroup failures, false reassurance \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03c4\u03b7\u03c2 human-AI \u03bf\u03bc\u03ac\u03b4\u03b1\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b4\u03b9\u03b5\u03c5\u03c1\u03cd\u03bd\u03b5\u03c4\u03b5 \u03c4\u03bf scope.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<h2 id=\"anthropinos-rolos\">\u039f \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf\u03c2 \u03c1\u03cc\u03bb\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03bf \u03c4\u03bf\u03c5 design<\/h2>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf\u03c5\u03c2 agents \u03c9\u03c2 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03b7\u03c2 \u03b5\u03c0\u03b9\u03b8\u03b5\u03ce\u03c1\u03b7\u03c3\u03b7\u03c2, \u03c7\u03c1\u03ae\u03c3\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03c9\u03bd, \u03b5\u03c0\u03b1\u03bb\u03ae\u03b8\u03b5\u03c5\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03c4\u03bf\u03bd\u03b9\u03c3\u03bc\u03bf\u03cd \u03c5\u03c0\u03cc \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1, \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03b1\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03bf\u03c5\u03c2 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c4\u03b5\u03c2 \u03b1\u03ba\u03c4\u03b9\u03bd\u03bf\u03bb\u03cc\u03b3\u03c9\u03bd. \u039f \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03cc\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03b5\u03b9, \u03bd\u03b1 \u03b1\u03bc\u03c6\u03b9\u03c3\u03b2\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03ba\u03ac\u03bc\u03c8\u03b5\u03b9 \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1, \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ce\u03bd\u03c4\u03b1\u03c2 \u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b5\u03c5\u03b8\u03cd\u03bd\u03b7. \u0391\u03c5\u03c4\u03cc \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af interface \u03c0\u03bf\u03c5 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03b9 evidence, \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 provenance, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03ad\u03bd\u03b1 \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf.<\/p>\n<p>\u0397 human-in-the-loop \u03c3\u03c7\u03b5\u03b4\u03af\u03b1\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03b2\u03ac\u03c1\u03bf\u03c2 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5. \u0391\u03bd \u03bf \u03c7\u03c1\u03ae\u03c3\u03c4\u03b7\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03b2\u03ae\u03bc\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03ae, \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b7\u03bd \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03cc \u03cc\u03c6\u03b5\u03bb\u03bf\u03c2. \u0391\u03bd, \u03b1\u03bd\u03c4\u03af\u03b8\u03b5\u03c4\u03b1, \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03b4\u03bf\u03c7\u03ad\u03c2, \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af automation bias. \u0397 \u03b9\u03c3\u03bf\u03c1\u03c1\u03bf\u03c0\u03af\u03b1 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 bounded autonomy, \u03c3\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03c1\u03bc\u03bf\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2, \u03bf\u03c1\u03b1\u03c4\u03ac \u03cc\u03c1\u03b9\u03b1 \u03ba\u03b1\u03b9 handoff \u03c0\u03bf\u03c5 \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03c0\u03bf\u03c5 \u03be\u03b5\u03c0\u03b5\u03c1\u03bd\u03bf\u03cd\u03bd \u03c4\u03b1 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1.<\/p>\n<h2 id=\"erevnitiko-roadmap\">\u03a4\u03bf \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc roadmap \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae\u03c2 \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03bf\u03cc\u03b4\u03bf\u03c5<\/h2>\n<p>\u0397 \u03b1\u03bd\u03b1\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7 \u03c3\u03c5\u03bd\u03bf\u03c8\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03be\u03ad\u03bb\u03b9\u03be\u03b7 \u03b1\u03c0\u03cc 2D adaptations \u03c0\u03c1\u03bf\u03c2 hybrid \u03ba\u03b1\u03b9 native 3D foundations \u03ba\u03b1\u03b9, \u03c3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1, \u03c0\u03c1\u03bf\u03c2 agentic workflows. \u0397 \u03b2\u03b9\u03b2\u03bb\u03b9\u03bf\u03b3\u03c1\u03b1\u03c6\u03af\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03ad\u03bd\u03c4\u03bf\u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b1\u03bd\u03b1\u03c4\u03bf\u03bb\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03c3\u03c4\u03bf CT, \u03b5\u03bd\u03ce MRI sequences, PET\/nuclear medicine \u03ba\u03b1\u03b9 multimodality resources \u03b4\u03b9\u03b5\u03c5\u03c1\u03cd\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9. \u039f\u03b9 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2 agentic \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03af\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03c3\u03c4\u03b7\u03bd \u03c0\u03b5\u03c1\u03af\u03bf\u03b4\u03bf 2025\u20132026, \u03ac\u03c1\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd \u03c0\u03c1\u03cc\u03c3\u03c6\u03b1\u03c4\u03b7 \u03b5\u03c0\u03ad\u03ba\u03c4\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c0\u03b5\u03b4\u03af\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03ce\u03c1\u03b9\u03bc\u03b7 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03c9\u03bd foundation models.<\/p>\n<p>\u039f\u03b9 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03bf\u03af \u03c0\u03c5\u03bb\u03ce\u03bd\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 volumetric \u03ba\u03b1\u03b9 acquisition-aware intelligence, workflow-centric clinical intelligence, self-evolving \u03ba\u03b1\u03b9 embodied \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7, \u03ba\u03b1\u03b9 traceable clinical-grade systems. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03c4\u03b7\u03c2 \u03b4\u03b9\u03ba\u03ae\u03c2 \u03c4\u03bf\u03c5\u03c2 \u03b1\u03bd\u03b1\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7\u03c2: \u03b7 \u03c4\u03b1\u03c7\u03ad\u03c9\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03b1\u03bb\u03bb\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b2\u03b9\u03b2\u03bb\u03b9\u03bf\u03b3\u03c1\u03b1\u03c6\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1 \u03c4\u03c9\u03bd \u03b5\u03c1\u03b3\u03b1\u03c3\u03b9\u03ce\u03bd \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03b5\u03cd\u03bf\u03c5\u03bd \u03c4\u03b9\u03c2 \u03ac\u03bc\u03b5\u03c3\u03b5\u03c2 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03c3\u03b5\u03b9\u03c2. \u03a4\u03bf \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 autonomous radiology \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5, \u03b1\u03bb\u03bb\u03ac \u03cc\u03c4\u03b9 \u03b7 \u03c0\u03c1\u03cc\u03bf\u03b4\u03bf\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c0\u03bb\u03ad\u03bf\u03bd \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ad\u03c4\u03b1\u03b9 \u03bc\u03b5 fidelity, traceability \u03ba\u03b1\u03b9 claim-aligned validation.<\/p>\n<h2 id=\"mathima-pera-apo-ygeia\">\u03a4\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c5\u03b3\u03b5\u03af\u03b1<\/h2>\n<p>\u0397 \u03c4\u03c1\u03b9\u03c3\u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c4\u03b7 \u03b1\u03ba\u03c4\u03b9\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b1\u03af\u03bf \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1 \u03b5\u03bd\u03cc\u03c2 \u03b3\u03b5\u03bd\u03b9\u03ba\u03bf\u03cd \u03c0\u03c1\u03bf\u03b2\u03bb\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03c3\u03c4\u03b1 multimodal \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1: \u03b7 \u03b4\u03b9\u03b5\u03c0\u03b1\u03c6\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b5\u03bd\u03ce \u03c4\u03bf input \u03ad\u03c7\u03b5\u03b9 \u03ae\u03b4\u03b7 \u03c7\u03ac\u03c3\u03b5\u03b9 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b1 \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1. \u03a3\u03b5 e-commerce, marketing analytics \u03ae customer service, \u03c4\u03bf \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03bf \u03bb\u03ac\u03b8\u03bf\u03c2 \u03c3\u03c5\u03bc\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c3\u03c5\u03bd\u03bf\u03c8\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 dashboards, \u03b1\u03c0\u03bf\u03c3\u03c0\u03b1\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac customer records \u03ae \u03c0\u03b1\u03bb\u03b9\u03cc context \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u2019 \u03cc\u03bb\u03b1 \u03b1\u03c5\u03c4\u03ac \u03ba\u03b1\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc operational claim.<\/p>\n<p>\u0397 \u03b1\u03c1\u03c7\u03ae Claim\u2013Design\u2013Validation \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af \u03ba\u03b1\u03b9 \u03b5\u03ba\u03b5\u03af. \u039f \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03ba\u03b1\u03b8\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf evidence, \u03bf \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c4\u03bf \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03ba\u03b1\u03b9 \u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b9\u03c3\u03c4\u03ac \u03c4\u03b9\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b7\u03c2. \u038c\u03c3\u03bf \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b7 agency \u03b5\u03bd\u03cc\u03c2 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2, \u03c4\u03cc\u03c3\u03bf \u03c0\u03b9\u03bf \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ac \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 provenance, failure recovery, bounded permissions \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03b1\u03c1\u03ad\u03bc\u03b2\u03b1\u03c3\u03b7\u03c2. \u0397 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae AI \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03bc\u03b5 \u03b9\u03b4\u03b9\u03b1\u03af\u03c4\u03b5\u03c1\u03b7 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03bd\u03cc\u03c2 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5\u00b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf\u03c5 workflow.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">\u0391\u03c0\u03cc \u03c4\u03bf \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03cc output \u03c3\u03c4\u03bf \u03b5\u03bb\u03ad\u03b3\u03be\u03b9\u03bc\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1<\/p>\n<h3>\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 AI workflows \u03bc\u03b5 evidence, provenance \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b1 \u03cc\u03c1\u03b9\u03b1<\/h3>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af data contracts, tool calls, validation gates, action logs, approvals \u03ba\u03b1\u03b9 fallbacks \u03ce\u03c3\u03c4\u03b5 \u03b7 AI \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03bd\u03b1 \u03c5\u03c0\u03b7\u03c1\u03b5\u03c4\u03b5\u03af \u03ad\u03bd\u03b1 \u03c3\u03b1\u03c6\u03ad\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc claim \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03c0\u03c1\u03bf\u03cb\u03c0\u03bf\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0394\u03b5\u03af\u03c4\u03b5 \u03c4\u03bf\u03c5\u03c2 \u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd &amp; AI<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">\u0427\u0435\u0441\u0442\u043e \u0437\u0430\u0434\u0430\u0432\u0430\u043d\u0438 \u0432\u044a\u043f\u0440\u043e\u0441\u0438<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 volumetric radiology AI;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 AI \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ae \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03c1\u03b9\u03c3\u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c4\u03b5\u03c2 \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03cc\u03c0\u03c9\u03c2 CT, MRI \u03ba\u03b1\u03b9 PET, \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03b7 \u03c7\u03c9\u03c1\u03b9\u03ba\u03ae, \u03c0\u03bf\u03c3\u03bf\u03c4\u03b9\u03ba\u03ae, acquisition \u03ba\u03b1\u03b9 \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03b1\u03ba\u03c4\u03b9\u03bd\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03cc task native 3D \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0395\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b5\u03c2 2D \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03ae report-mediated reasoning \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c1\u03ba\u03bf\u03cd\u03bd \u03cc\u03c4\u03b1\u03bd \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03bf\u03cd\u03bd \u03c4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf evidence. Native 3D \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc \u03cc\u03c4\u03b1\u03bd \u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03c4\u03b1\u03bd\u03b5\u03bc\u03b7\u03bc\u03ad\u03bd\u03b7 \u03c3\u03c4\u03bf\u03bd \u03cc\u03b3\u03ba\u03bf.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03ad\u03bd\u03b1 \u03ba\u03b1\u03bb\u03cc \u03b1\u03ba\u03c4\u03b9\u03bd\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03cc report \u03b1\u03c0\u03cc AI;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0397 \u03b3\u03bb\u03c9\u03c3\u03c3\u03b9\u03ba\u03ae \u03bf\u03bc\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ae \u03b5\u03c5\u03c7\u03ad\u03c1\u03b5\u03b9\u03b1 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7 \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae, \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03ae \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c4\u03bf\u03c5 volume.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03bf\u03c5\u03bd \u03bf\u03b9 AI agents \u03c3\u03c4\u03b7\u03bd \u03b1\u03ba\u03c4\u03b9\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039c\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c3\u03bf\u03c5\u03bd planning, \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae evidence, tool use, \u03bc\u03bd\u03ae\u03bc\u03b7, \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03b5\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03c4\u03bf\u03bd\u03b9\u03c3\u03bc\u03cc workflow. \u039a\u03ac\u03b8\u03b5 \u03b2\u03ae\u03bc\u03b1 \u03cc\u03bc\u03c9\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 provenance, validation \u03ba\u03b1\u03b9 human handoff.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf Claim\u2013Design\u2013Validation framework;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03bf \u03b4\u03b7\u03bb\u03c9\u03bc\u03ad\u03bd\u03bf\u03c2 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03cc\u03c2, \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03cc\u03c2 \u03ae \u03ba\u03bb\u03b9\u03bd\u03b9\u03ba\u03cc\u03c2 \u03b9\u03c3\u03c7\u03c5\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf design \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc validation \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03bf \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03c3\u03c5\u03bc\u03c0\u03af\u03b5\u03c3\u03b7\u03c2 visual tokens;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c1\u03c1\u03af\u03c8\u03b5\u03b9 \u03bc\u03b9\u03ba\u03c1\u03ac \u03ae \u03c7\u03c9\u03c1\u03b9\u03ba\u03ac \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b1 \u03b5\u03c5\u03c1\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c0\u03c1\u03b9\u03bd \u03c6\u03c4\u03ac\u03c3\u03bf\u03c5\u03bd \u03c3\u03c4\u03bf language model, \u03b1\u03c6\u03ae\u03bd\u03bf\u03bd\u03c4\u03b1\u03c2 \u03ad\u03bd\u03b1 \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc output \u03c7\u03c9\u03c1\u03af\u03c2 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ad\u03c2 \u03bf\u03c0\u03c4\u03b9\u03ba\u03cc evidence.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0395\u03af\u03bd\u03b1\u03b9 \u03c4\u03b1 DICOM \u03ba\u03b1\u03b9 acquisition metadata \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ac;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039d\u03b1\u03b9. \u03a6\u03ac\u03c3\u03b7, sequence, slice thickness, reconstruction \u03ba\u03b1\u03b9 scanner protocol \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03bf\u03c5\u03bd \u03c4\u03b7 \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03bf\u03c0\u03c4\u03b9\u03ba\u03bf\u03cd pattern.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03b7 \u03b1\u03bd\u03b1\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b1\u03ba\u03c4\u03b9\u03bd\u03bf\u03bb\u03cc\u03b3\u03c9\u03bd;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u03a4\u03bf\u03bd\u03af\u03b6\u03b5\u03b9 \u03c3\u03c4\u03bf\u03c7\u03b5\u03c5\u03bc\u03ad\u03bd\u03b7 \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7, traceable behavior, \u03c3\u03b1\u03c6\u03ae \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03ba\u03b1\u03af\u03c9\u03bc\u03b1 override \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03c1\u03b5\u03b1\u03bb\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac workflows.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">\u0418\u0437\u0442\u043e\u0447\u043d\u0438\u0446\u0438<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.20549\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Volumetric Radiology AI in the Era of Multimodal Large Language Models<\/a><\/li>\n<li><a href=\"https:\/\/www.fda.gov\/medical-devices\/software-medical-device-samd\/good-machine-learning-practice-medical-device-development-guiding-principles\" target=\"_blank\" rel=\"noopener\">FDA \u2014 Good Machine Learning Practice for Medical Device Development<\/a><\/li>\n<li><a href=\"https:\/\/www.fda.gov\/medical-devices\/software-medical-device-samd\/transparency-machine-learning-enabled-medical-devices-guiding-principles\" target=\"_blank\" rel=\"noopener\">FDA \u2014 Transparency for Machine Learning-Enabled Medical Devices<\/a><\/li>\n<li><a href=\"https:\/\/airc.nist.gov\/airmf-resources\/airmf\/\" target=\"_blank\" rel=\"noopener\">NIST \u2014 Artificial Intelligence Risk Management Framework<\/a><\/li>\n<li><a href=\"https:\/\/www.dicomstandard.org\/current\/\" target=\"_blank\" rel=\"noopener\">DICOM \u2014 Current Edition of the DICOM Standard<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u0397 AI \u03c3\u03c4\u03b7\u03bd \u03c4\u03c1\u03b9\u03c3\u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c4\u03b7 \u03b1\u03ba\u03c4\u03b9\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b9\u03c3\u03c4\u03ae 3D \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, traceable \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1, validation \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1.<\/p>","protected":false},"author":1,"featured_media":91092,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[19894,6506,18467,19895,19893],"class_list":["post-91008","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-3d-apeikonisi","tag-ai-agents","tag-multimodal-ai","tag-aktinologia","tag-iatriki-ai"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/91008","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/comments?post=91008"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/91008\/revisions"}],"predecessor-version":[{"id":91093,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/91008\/revisions\/91093"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media\/91092"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media?parent=91008"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/categories?post=91008"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/tags?post=91008"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}