{"id":15266,"date":"2026-10-23T08:13:52","date_gmt":"2026-10-23T08:13:52","guid":{"rendered":"https:\/\/dailyai.com\/?p=15266"},"modified":"2026-10-23T08:35:11","modified_gmt":"2026-10-23T08:35:11","slug":"microsofts-ai-diagnosis-panel-beats-doctors-83-to-36-in-science-study","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2026\/10\/microsofts-ai-diagnosis-panel-beats-doctors-83-to-36-in-science-study\/","title":{"rendered":"Microsoft&#8217;s AI Diagnosis Panel Beats Doctors 83% to 36% in Science Study"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>Microsoft&#8217;s AI diagnostic system, MAI-DxO, correctly diagnosed 83% of complex New England Journal of Medicine cases in a peer-reviewed study in Science, against 36% for generalist physicians who could use reference tools.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The paper, <a href=\"https:\/\/www.science.org\/doi\/10.1126\/science.aeh7930\">&#8220;Sequential diagnosis with language models&#8221;<\/a>, was published on October 22. Instead of handing an AI a complete case write-up, it makes the system start from a short presentation and decide what to ask and which tests to order, as a doctor would.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Comment cela fonctionne-t-il ?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The team built a benchmark called SDBench from 304 NEJM clinicopathological cases and 325 emergency department admissions from the MIMIC-IV-ED dataset. A &#8220;Gatekeeper&#8221; agent releases only what a question or test would realistically reveal, and a &#8220;Judge&#8221; agent scores the final diagnosis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">MAI-DxO, the Microsoft AI Diagnostic Orchestrator, <a href=\"https:\/\/microsoft.ai\/news\/building-medical-superintelligence\/\">works like a panel of virtual physicians<\/a>: each proposes diagnoses, picks questions or tests and challenges the emerging view, while the system weighs each test&#8217;s cost.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The numbers<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">On the NEJM cases, the system running on GPT-5 scored 83.2% at an average estimated test cost of $5,431. Physicians averaged 36.1% with search and reference tools and 22.3% without. Even the best individual physician, at 51.8%, was beaten on both accuracy and cost.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">On more routine emergency cases, MAI-DxO reached 80.3% versus 46.8% for physicians. Microsoft says the gains held, and grew, when it re-ran the evaluation on GPT-5.5 without changing the orchestration.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The caveats<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The authors are upfront about the limits. The tests were text-only, compared the AI with individual generalists rather than specialists or teams, and measured &#8220;diagnostic reasoning under idealized information conditions rather than bedside performance or patient outcomes.&#8221; All of the authors are Microsoft employees.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That&#8217;s why the next step matters. Microsoft says it will run a prospective study with Beth Israel Deaconess Medical Center in Boston, where patients interact with the system directly. It&#8217;s also open-sourcing SDBench code so others can test other models and challenge the findings.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why it matters<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">GPs are already <a href=\"https:\/\/dailyai.com\/fr\/2024\/09\/ai-in-the-doctors-office-gps-turn-to-chatgpt-and-other-tools-for-diagnoses\/\">turning to <span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\">ChatGPT<\/span><\/span><\/span><\/span> and other tools for diagnoses<\/a>, and tools like the NHS&#8217;s <a href=\"https:\/\/dailyai.com\/fr\/2024\/03\/nhs-cancer-tool-mia-identified-cancers-that-doctors-missed\/\">Mia cancer tool<\/a> have shown AI can catch what doctors miss. A structured, cost-aware panel like MAI-DxO points to a more rigorous version of that, but until it&#8217;s proven with real patients, it&#8217;s a benchmark result, not a clinical one.<\/p>","protected":false},"excerpt":{"rendered":"<p>Microsoft&#8217;s MAI-DxO diagnosed 83% of complex NEJM cases versus 36% for physicians in a Science study, though only in a text-only benchmark.<\/p>","protected":false},"author":1,"featured_media":15273,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[],"class_list":["post-15266","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>MAI-DxO Outdiagnoses Doctors in Science Study | DailyAI<\/title>\n<meta name=\"description\" content=\"Microsoft&#039;s MAI-DxO hit 83% accuracy on complex NEJM cases versus 36% for physicians in a Science study. 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