[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-an-llm-outperformed-doctors-on-liver-cancer-treatment-calls":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},4563,"an-llm-outperformed-doctors-on-liver-cancer-treatment-calls","An LLM Outperformed Doctors on Liver Cancer Treatment Calls","HCC-STAR, trained on 30,000 cases, beat GPT-5 and attending physicians on treatment accuracy in a 6,668-patient trial.","A clinical AI model for liver cancer staging just outperformed both specialist physicians and frontier models in a large multi-center trial.\n\nResearchers built HCC-STAR, a large language model designed to read routine electronic medical records and produce risk-stratified staging, ranked treatment recommendations with evidence-based rationales, and individualized survival estimates. The team trained it on roughly 30,000 hepatocellular carcinoma cases sourced from the SEER database, expanded into EMR-style narratives through a clinician-validated augmentation workflow. Evaluated across 6,668 patients from 12 hospitals in China, HCC-STAR outperformed GPT-5, Gemini-2.5 Pro, and both resident and attending physicians on treatment accuracy. Blinded hepatobiliary specialists rated its reasoning as trustworthy.\n\nThe survival numbers are the sharpest part of the claim: hypothetical analysis put median overall survival at 51 months when following HCC-STAR recommendations, versus 29 and 32 months under the two dominant clinical staging systems, BCLC and CNLC. That gap — if it holds in prospective trials — would be meaningful for a cancer where most patients are diagnosed at advanced stages. The model also helped physicians make more accurate decisions faster when used as an assistant, which is the more defensible near-term use case than full autonomy.\n\nThe usual caveats apply: this is a retrospective study, the survival figures are hypothetical, and the training data came from a single national registry. Whether the approach generalizes outside China's hospital network is the next question worth asking.","[\"ai\",\"medicine\",\"clinical-ai\",\"oncology\"]","2026-07-10T04:00:00.000Z","2026-07-10T04:58:18.455Z","2026-07-10T04:58:21.298Z","published",null,[],"ai",[24,26,27,28],"medicine","clinical-ai","oncology",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2607.08602",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"]