[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-cinemr-teaches-ai-to-use-tools-for-reading-heart-scans":10,"sections":34},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},9710,"cinemr-teaches-ai-to-use-tools-for-reading-heart-scans","CineMR Teaches AI to Use Tools for Reading Heart Scans","A tool-using AI model boosts heart MRI measurement accuracy over plain vision-language models, though it still gets things wrong most of the time.","A new AI system called CineMR can pull actual numbers out of heart MRI videos instead of just describing what it sees.\n\nResearchers built CineMR, a vision-language model that calls external image-analysis tools - for segmentation, phase selection, volumetry, and wall-motion tracking - and folds their outputs back into its own reasoning before answering. They trained it in two stages: supervised fine-tuning on examples of tool use, then a reinforcement-learning step called GRPO that rewards correct tool calls. On a new multi-cohort benchmark testing quantitative metrics, diagnosis, and differential diagnosis from cine cardiac MRI, CineMR hit 35.9% pass@1 and 58.9% pass@4. Its own Qwen3-VL-8B backbone managed just 1.5% pass@1 without the tool scaffolding, and other medical vision-language models like LLaVA-Med and MedGemma-4B scored even lower.\n\nThe gap between CineMR and its unassisted backbone is the real story: tool use, not raw model size, closes most of the distance to reliable quantitative reading of cardiac scans. Correct tool invocation jumped from 78.9% to 99.8% after the reinforcement-learning stage, and feeding the model live tool outputs improved measurement accuracy by 20.4-23.7% over letting it guess numbers directly. That suggests the fastest path to trustworthy medical AI may be wiring existing, already-validated analysis software into language models, rather than waiting for ever-bigger models to learn anatomy from pixels alone.\n\nWorth noting that 35.9% pass@1 still means the model gets the full answer wrong roughly two-thirds of the time, so this reads as a promising architecture paper, not a tool any cardiologist should trust unsupervised yet.","[\"ai\",\"medical-imaging\",\"cardiology\",\"vision-language-models\"]","2026-10-02T04:00:00.000Z","2026-10-03T07:20:37.024Z","2026-10-03T07:20:41.060Z","published",null,[],"ai",[24,26,27,28],"medical-imaging","cardiology","vision-language-models",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2610.01166",0,{"sections":35},[36,39,43,47,52,56,60,65,70,75,80,85,90,95],{"name":37,"slug":24,"count":38,"latest_published_at":18},"AI",6042,{"name":40,"slug":41,"count":42,"latest_published_at":18},"Security","security",848,{"name":44,"slug":45,"count":46,"latest_published_at":18},"Policy","policy",439,{"name":48,"slug":49,"count":50,"latest_published_at":51},"Deals","deals",317,"2026-10-01T22:00:00.000Z",{"name":53,"slug":54,"count":55,"latest_published_at":18},"Hardware","hardware",199,{"name":57,"slug":58,"count":59,"latest_published_at":18},"Science","science",176,{"name":61,"slug":62,"count":63,"latest_published_at":64},"Consumer Tech","consumer-tech",155,"2026-10-01T19:54:10.000Z",{"name":66,"slug":67,"count":68,"latest_published_at":69},"Dev Tools","dev-tools",96,"2026-10-01T16:57:03.000Z",{"name":71,"slug":72,"count":73,"latest_published_at":74},"Software","software",93,"2026-09-30T21:41:11.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":79},"Startups","startups",90,"2026-10-01T21:55:22.000Z",{"name":81,"slug":82,"count":83,"latest_published_at":84},"Gaming","gaming",53,"2026-10-02T02:50:39.000Z",{"name":86,"slug":87,"count":88,"latest_published_at":89},"General","general",50,"2026-09-30T21:37:54.000Z",{"name":91,"slug":92,"count":93,"latest_published_at":94},"Reviews","reviews",31,"2026-09-28T14:31:34.000Z",{"name":96,"slug":97,"count":98,"latest_published_at":99},"How-To","how-to",7,"2026-10-01T09:00:00.000Z"]