[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-5-ways-microsoft-and-mayo-clinic-are-using-ai-en":3,"article-related-5-ways-microsoft-and-mayo-clinic-are-using-ai-en":33,"series-industry-aaf22634-6e87-4001-a011-6fbf9b24457c":86},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":25,"views":29,"created_at":30,"published_at":31,"topic_cluster_id":32},"aaf22634-6e87-4001-a011-6fbf9b24457c","5-ways-microsoft-and-mayo-clinic-are-using-ai-en","5 ways Microsoft and Mayo Clinic are using AI","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fmicrosoft\">Microsoft\u003C\u002Fa> and Mayo Clinic are building an AI model for healthcare use.\u003C\u002Fp>\u003Cp>Millions of people now ask chatbots about symptoms, diagnoses, and treatment options, but general-purpose models can get medical details wrong. Microsoft and Mayo Clinic say their new effort aims to improve accuracy by training on clinical records, research, and physician expertise.\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Item\u003C\u002Fth>\u003Cth>Focus\u003C\u002Fth>\u003Cth>Who uses it first\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Medical AI model\u003C\u002Ftd>\u003Ctd>Healthcare-specific training\u003C\u002Ftd>\u003Ctd>Mayo Clinic professionals\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Patient assistant\u003C\u002Ftd>\u003Ctd>Portal-based health guidance\u003C\u002Ftd>\u003Ctd>Patients\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Copilot health answers\u003C\u002Ftd>\u003Ctd>Better consumer responses\u003C\u002Ftd>\u003Ctd>Microsoft users\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Clinical support tools\u003C\u002Ftd>\u003Ctd>Diagnosis and next steps\u003C\u002Ftd>\u003Ctd>Doctors and care teams\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Licensing plan\u003C\u002Ftd>\u003Ctd>Possible expansion to other systems\u003C\u002Ftd>\u003Ctd>Other healthcare institutions\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. A medical AI model trained on clinical data\u003C\u002Fh2>\u003Cp>The core project is a model built for healthcare, not a general chatbot with medical add-ons. Mayo Clinic says the training set will include anonymized patient data, research, and the expertise of its clinicians, which is meant to reduce the kind of vague or incorrect answers that can show up in consumer AI tools.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780681674479-k5xc.png\" alt=\"5 ways Microsoft and Mayo Clinic are using AI\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>This matters because health advice is not a casual use case. The organizations say the model needs to be accurate enough for high-stakes questions before it can be trusted more broadly. Microsoft AI CEO Mustafa Suleyman said that process will take many years.\u003C\u002Fp>\u003Cul>\u003Cli>Anonymized patient records\u003C\u002Fli>\u003Cli>Clinical research and published studies\u003C\u002Fli>\u003Cli>Input from Mayo Clinic physicians\u003C\u002Fli>\u003Cli>Testing before wider release\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. A tool for Mayo Clinic clinicians first\u003C\u002Fh2>\u003Cp>The first users will be Mayo Clinic professionals, who will test the model in real clinical settings before it reaches patients. That staged rollout is designed to catch errors early and make sure the system helps rather than distracts doctors.\u003C\u002Fp>\u003Cp>Mayo Clinic CEO Gianrico Farrugia said the right data and the right people are needed to improve healthcare outcomes. The clinic has already built smaller AI models for tasks such as detecting heart disease and diagnosing pancreatic cancer, so this project extends work it has been doing for years.\u003C\u002Fp>\u003Cul>\u003Cli>Initial access for clinicians\u003C\u002Fli>\u003Cli>Accuracy checks in practice\u003C\u002Fli>\u003Cli>Use in hospitals before consumer rollout\u003C\u002Fli>\u003Cli>Built on Mayo’s prior AI work\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. A patient assistant inside the hospital portal\u003C\u002Fh2>\u003Cp>One goal is to create an AI healthcare assistant that patients can use through Mayo Clinic’s online portal. That assistant could help people understand what a diagnosis means, what the next steps in care might be, or what preventive care looks like in plain language.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780681668605-27xa.png\" alt=\"5 ways Microsoft and Mayo Clinic are using AI\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>For patients, that could mean faster access to explanations after a visit, fewer confusing medical terms, and a more guided experience when they are already worried. The idea is not to replace doctors, but to give patients a better way to prepare for conversations with them.\u003C\u002Fp>\u003Ccode>Possible patient prompts:\n- What does this diagnosis mean?\n- What should I ask my doctor next?\n- What are common treatment options?\n- How can I reduce my risk going forward?\u003C\u002Fcode>\u003Ch2>4. Better health answers inside Microsoft Copilot\u003C\u002Fh2>\u003Cp>The partnership could also improve how Microsoft’s \u003Ca href=\"\u002Ftag\u002Fcopilot\">Copilot\u003C\u002Fa> consumer chatbot responds to health questions. That matters because people are already using AI tools the way they once used search engines, only with more conversational follow-up and more trust in the reply.\u003C\u002Fp>\u003Cp>Microsoft and Mayo Clinic want those answers to be more grounded in medical evidence and less dependent on whatever the model absorbed from the open web. If the project works, Copilot could become more useful for everyday questions while staying more careful about high-risk topics.\u003C\u002Fp>\u003Cul>\u003Cli>More detailed answers after a diagnosis\u003C\u002Fli>\u003Cli>Clearer explanations of treatment paths\u003C\u002Fli>\u003Cli>Better preventive-care guidance\u003C\u002Fli>\u003Cli>Less reliance on random web sources\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>5. A possible platform for other health systems\u003C\u002Fh2>\u003Cp>Mayo Clinic will own the model, and the two organizations say it may eventually be licensed to other healthcare institutions. That would let hospitals and clinics outside Mayo use a system trained with the same medical focus, instead of building one from scratch.\u003C\u002Fp>\u003Cp>The companies are not saying how much they are spending, but both describe the deal as a long-term commitment. That signals a project aimed at infrastructure, not a one-off product demo, with room to grow as hospitals decide how much AI they want in routine care.\u003C\u002Fp>\u003Cul>\u003Cli>Model ownership stays with Mayo Clinic\u003C\u002Fli>\u003Cli>Possible licensing to other providers\u003C\u002Fli>\u003Cli>Cloud support from Microsoft\u003C\u002Fli>\u003Cli>Long-term development, not a quick launch\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>How to decide\u003C\u002Fh2>\u003Cp>If you are a patient, the most relevant piece is the future portal assistant, which could make medical information easier to understand. If you are a clinician, the first wave matters more, because Mayo Clinic staff will test the model before anyone else.\u003C\u002Fp>\u003Cp>For the broader market, the key question is whether a healthcare-specific model can answer questions more safely than general chatbots. This partnership is a bet that better data, expert review, and slower rollout can make AI more useful in medicine.\u003C\u002Fp>","5 ways Microsoft and Mayo Clinic plan to use AI for health advice, clinician support, and safer answers as chatbots draw millions of medical queries.","www.cnn.com","https:\u002F\u002Fwww.cnn.com\u002F2026\u002F06\u002F02\u002Ftech\u002Fai-for-healthcare-microsoft-mayo-clinic",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780681674479-k5xc.png","industry","en","278f8342-b7a8-48a3-b124-1a8c161a9076",[17,18,19,20,21,22,23,24],"Microsoft","Mayo Clinic","AI healthcare","medical chatbot","Copilot","health advice","clinical data","patient assistant",[26,27,28],"Microsoft and Mayo Clinic are building a healthcare-specific AI model trained on medical data and clinician expertise.","The first users will be Mayo Clinic professionals, with patient and consumer tools coming later.","The project could improve patient explanations, doctor support, and Microsoft Copilot health answers.",0,"2026-06-05T17:47:25.272671+00:00","2026-06-05T17:47:25.259+00:00","d19fc184-5852-4c4d-9ec0-db0c4841ac17",{"tags":34,"relatedLang":45,"relatedPosts":49},[35,37,39,41,43],{"name":17,"slug":36},"microsoft",{"name":19,"slug":38},"ai-healthcare",{"name":21,"slug":40},"copilot",{"name":18,"slug":42},"mayo-clinic",{"name":20,"slug":44},"medical-chatbot",{"id":15,"slug":46,"title":47,"language":48},"5-ways-microsoft-and-mayo-clinic-are-using-ai-zh","5 種 Microsoft 與 Mayo Clinic 的 AI 用法","zh",[50,56,62,68,74,80],{"id":51,"slug":52,"title":53,"cover_image":54,"image_url":54,"created_at":55,"category":13},"ed0fcb57-f810-45c5-babc-7a01e121376b","why-seth-rogen-career-proves-comedy-producer-game-en","Why Seth Rogen’s career proves comedy is now a producer’s game","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780690673321-0gx6.png","2026-06-05T20:17:23.145324+00:00",{"id":57,"slug":58,"title":59,"cover_image":60,"image_url":60,"created_at":61,"category":13},"4be6fec7-fc52-4755-84f1-0bcaa45b7e85","seth-rogen-rebooting-the-littlest-hobo-en","Seth Rogen Is Rebooting The Littlest Hobo","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780689802987-oqfh.png","2026-06-05T20:02:56.135007+00:00",{"id":63,"slug":64,"title":65,"cover_image":66,"image_url":66,"created_at":67,"category":13},"e44bc120-7eb7-4d1c-a695-92482d75e9c0","how-to-enroll-in-microsoft-partner-center-en","How to enroll in Microsoft Partner Center","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780680787299-niu9.png","2026-06-05T17:32:27.032242+00:00",{"id":69,"slug":70,"title":71,"cover_image":72,"image_url":72,"created_at":73,"category":13},"12b54d5c-6bff-47ac-9b81-190c38dab798","5-things-to-know-about-ppsspp-web-en","5 things to know about PPSSPP-Web","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780676277820-gmx7.png","2026-06-05T16:17:29.646922+00:00",{"id":75,"slug":76,"title":77,"cover_image":78,"image_url":78,"created_at":79,"category":13},"c3e5ff79-e2cc-4fad-8211-f770b76cc089","zhihu-users-map-out-2024-family-work-travel-en","Zhihu users map out 2024 with family, work, travel","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780674478362-zco5.png","2026-06-05T15:47:27.946625+00:00",{"id":81,"slug":82,"title":83,"cover_image":84,"image_url":84,"created_at":85,"category":13},"0deb09d2-361d-4c12-a7a1-9053911ac065","5-ways-kimi-work-helps-knowledge-workers-en","5 ways Kimi Work helps knowledge workers","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780672684714-di2l.png","2026-06-05T15:17:34.770845+00:00",[87,92,97,102,107,112,117,122,127,132],{"id":88,"slug":89,"title":90,"created_at":91},"d35a1bd9-e709-412e-a2df-392df1dc572a","ai-impact-2026-developments-market-en","AI's Impact in 2026: Key Developments and Market Shifts","2026-03-25T16:20:33.205823+00:00",{"id":93,"slug":94,"title":95,"created_at":96},"5ed27921-5fd6-492e-8c59-78393bf37710","trumps-ai-legislative-framework-en","Trump's AI Legislative Framework: What's Inside?","2026-03-25T16:22:20.005325+00:00",{"id":98,"slug":99,"title":100,"created_at":101},"e454a642-f03c-4794-b185-5f651aebbaca","nvidia-gtc-2026-key-highlights-innovations-en","NVIDIA GTC 2026: Key Highlights and Innovations","2026-03-25T16:22:47.882615+00:00",{"id":103,"slug":104,"title":105,"created_at":106},"0ebb5b16-774a-4922-945d-5f2ce1df5a6d","claude-usage-diversifies-learning-curves-en","Claude Usage Diversifies, Learning Curves Emerge","2026-03-25T16:25:50.770376+00:00",{"id":108,"slug":109,"title":110,"created_at":111},"69934e86-2fc5-4280-8223-7b917a48ace8","openclaw-ai-commoditization-concerns-en","OpenClaw's Rise Raises Concerns of AI Model Commoditization","2026-03-25T16:26:30.582047+00:00",{"id":113,"slug":114,"title":115,"created_at":116},"b4b2575b-2ac8-46b2-b90e-ab1d7c060797","google-gemini-ai-rollout-2026-en","Google's Gemini AI Rollout Extended to 2026","2026-03-25T16:28:14.808842+00:00",{"id":118,"slug":119,"title":120,"created_at":121},"6e18bc65-42ae-4ad0-b564-67d7f66b979e","meta-llama4-fabricated-results-scandal-en","Meta's Llama 4 Scandal: Fabricated AI Test Results Unveiled","2026-03-25T16:29:15.482836+00:00",{"id":123,"slug":124,"title":125,"created_at":126},"bf888e9d-08be-4f47-996c-7b24b5ab3500","accenture-mistral-ai-deployment-en","Accenture and Mistral AI Team Up for AI Deployment","2026-03-25T16:31:01.894655+00:00",{"id":128,"slug":129,"title":130,"created_at":131},"5382b536-fad2-49c6-ac85-9eb2bae49f35","mistral-ai-high-stakes-2026-en","Mistral AI: Facing High Stakes in 2026","2026-03-25T16:31:39.941974+00:00",{"id":133,"slug":134,"title":135,"created_at":136},"9da3d2d6-b669-4971-ba1d-17fdb3548ed5","cursors-meteoric-rise-pressures-en","Cursor's Meteoric Rise Faces Industry Pressures","2026-03-25T16:32:21.899217+00:00"]