[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-ai-benchmark-targets-cancer-treatment-heart-damage":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},3284,"ai-benchmark-targets-cancer-treatment-heart-damage","AI Benchmark Targets Cancer Treatment Heart Damage","EchoRisk is the first public dataset pairing echocardiography video with cardiotoxicity labels, timed to a MICCAI 2026 challenge.","A new open dataset wants to make it easier for AI to catch heart damage before it forces cancer patients off treatment.\n\nResearchers released EchoRisk, a multicentre longitudinal echocardiography dataset built from 422 breast cancer patients enrolled in the EU-funded CARDIOCARE study across five European sites. The collection includes 2,159 echocardiography videos spanning 1,123 clinical exams, each tagged with cardiotoxicity labels — a combination that, according to the paper, has not existed in a curated public form before. The dataset anchors three benchmark tasks: estimating left ventricular ejection fraction from video, classifying LV dysfunction across timepoints, and — the hardest one — predicting cardiotoxicity from a single pre-therapy scan before any drug has been administered.\n\nTherapy-induced cardiotoxicity is the top non-oncological reason breast cancer treatment gets interrupted, so catching it early has real clinical stakes. The researchers established a baseline using an R(2+1)D video backbone with LSTM aggregation pretrained on Kinetics-400; it handles cardiac function assessment reasonably well, but early prediction from a single baseline video remains, by their own description, an open problem.\n\nThe timing is deliberate — EchoRisk is the primary reference dataset for the EchoRisk-MICCAI 2026 challenge, which should attract competitive modeling from the medical-imaging community. Whether a public benchmark actually closes the gap on early prediction, or just formalizes how hard the problem is, will depend on what the challenge submissions produce.","[\"ai\",\"medical imaging\",\"cardiology\",\"open data\"]","2026-07-02T04:00:00.000Z","2026-07-02T06:36:51.848Z","2026-07-02T06:36:54.565Z","published",null,[],"ai",[24,26,27,28],"medical imaging","cardiology","open data",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.01039",0,{"sections":35},[36,40,45,50,55,60,65,70,75,80,85,89,94,99],{"name":37,"slug":24,"count":38,"latest_published_at":39},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":41,"slug":42,"count":43,"latest_published_at":44},"Security","security",294,"2026-07-15T19:59:48.000Z",{"name":46,"slug":47,"count":48,"latest_published_at":49},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":59},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":64},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":66,"slug":67,"count":68,"latest_published_at":69},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":71,"slug":72,"count":73,"latest_published_at":74},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":79},"Dev Tools","dev-tools",59,"2026-07-07T04:00:00.000Z",{"name":81,"slug":82,"count":83,"latest_published_at":84},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":86,"slug":87,"count":83,"latest_published_at":88},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":90,"slug":91,"count":92,"latest_published_at":93},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":95,"slug":96,"count":97,"latest_published_at":98},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":100,"slug":101,"count":102,"latest_published_at":103},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]