[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-5-ways-microsoft-and-mayo-clinic-are-using-ai-zh":3,"article-related-5-ways-microsoft-and-mayo-clinic-are-using-ai-zh":33,"series-industry-278f8342-b7a8-48a3-b124-1a8c161a9076":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},"278f8342-b7a8-48a3-b124-1a8c161a9076","5-ways-microsoft-and-mayo-clinic-are-using-ai-zh","5 種 Microsoft 與 Mayo Clinic 的 AI 用法","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fmicrosoft\">Microsoft\u003C\u002Fa> 與 Mayo Clinic 正在打造醫療專用 AI，目標是讓健康問答、臨床支援和病患說明更準確。\u003C\u002Fp>\u003Cp>這份\u003Ca href=\"\u002Fnews\u002Fzhihu-users-map-out-2024-family-work-travel-zh\">清單\u003C\u002Fa>整理 5 個\u003Ca href=\"\u002Fnews\u002F5-things-to-know-about-ppsspp-web-zh\">重點\u003C\u002Fa>，讀完你可以判斷這項合作會先影響醫師、病人，還是一般使用者。它也能幫你看懂，為什麼醫療 AI 不能只靠通用聊天機器人。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>主要用途\u003C\u002Fth>\u003Cth>先給誰用\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>醫療 AI 模型\u003C\u002Ftd>\u003Ctd>以臨床資料訓練\u003C\u002Ftd>\u003Ctd>Mayo Clinic 團隊\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>臨床支援工具\u003C\u002Ftd>\u003Ctd>協助診斷與下一步判斷\u003C\u002Ftd>\u003Ctd>醫師與照護團隊\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>病患助理\u003C\u002Ftd>\u003Ctd>門戶內健康導覽\u003C\u002Ftd>\u003Ctd>病人\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Copilot 健康回答\u003C\u002Ftd>\u003Ctd>改善消費者問答\u003C\u002Ftd>\u003Ctd>Microsoft 使用者\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>授權平台\u003C\u002Ftd>\u003Ctd>供其他醫療機構使用\u003C\u002Ftd>\u003Ctd>其他醫療系統\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. 醫療 AI 模型：先把資料做對\u003C\u002Fh2>\u003Cp>這個合作的核心，是一個不是為一般聊天設計，而是為醫療情境打造的模型。\u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002F\">Microsoft\u003C\u002Fa> 與 \u003Ca href=\"https:\u002F\u002Fwww.mayoclinic.org\u002F\">Mayo Clinic\u003C\u002Fa> 表示，訓練資料會包括去識別化病歷、研究文獻，以及臨床醫師的專業判斷。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780681676255-rvye.png\" alt=\"5 種 Microsoft 與 Mayo Clinic 的 AI 用法\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>重點在於降低通用模型常見的模糊、過度簡化或答非所問。醫療場景牽涉風險，團隊也明說，這類模型要先通過更嚴格的測試，才可能進一步擴大使用。\u003C\u002Fp>\u003Cul>\u003Cli>去識別化病患資料\u003C\u002Fli>\u003Cli>臨床研究與已發表論文\u003C\u002Fli>\u003Cli>醫師專業回饋\u003C\u002Fli>\u003Cli>正式上線前的安全測試\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. 先給 Mayo Clinic 臨床人員用\u003C\u002Fh2>\u003Cp>第一批使用者不是病人，而是 Mayo Clinic 的臨床人員。這種先內部、後外部的做法，可以先在真實醫療流程裡找出錯誤，再決定是否擴大到更多人。\u003C\u002Fp>\u003Cp>對醫院來說，這代表 AI 不是拿來取代醫師，而是先當成工作輔助。Mayo 也不是第一次做這件事，過去已經有用 AI 做心臟病偵測、胰臟癌診斷等較小規模的專案。\u003C\u002Fp>\u003Cul>\u003Cli>先由醫師與照護團隊測試\u003C\u002Fli>\u003Cli>在臨床流程中驗證準確性\u003C\u002Fli>\u003Cli>先院內、後病患端\u003C\u002Fli>\u003Cli>延續 Mayo 既有 AI 經驗\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. 病患助理：放進醫院入口網站\u003C\u002Fh2>\u003Cp>另一個方向，是讓病人透過 Mayo Clinic 的線上入口網站使用 AI 助理。這個工具可望幫助病人理解診斷內容、後續治療步驟，或是預防保健應該\u003Ca href=\"\u002Fnews\u002Fhow-to-enroll-in-microsoft-partner-center-zh\">怎麼\u003C\u002Fa>做。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780681667978-tc9y.png\" alt=\"5 種 Microsoft 與 Mayo Clinic 的 AI 用法\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>對病人而言，這種助理的價值不在於給出最聰明的答案，而是把醫學術語翻成好懂的說法。它可以讓看診後的資訊更清楚，也能幫人整理下一次回診時該問什麼。\u003C\u002Fp>\u003Ccode>可能的提問：\u003Cbr>- 這個診斷代表什麼？\u003Cbr>- 我下一步該問醫師什麼？\u003Cbr>- 常見治療方式有哪些？\u003Cbr>- 我可以怎麼降低風險？\u003C\u002Fcode>\u003Ch2>4. Copilot：把健康回答做得更穩\u003C\u002Fh2>\u003Cp>這項合作也可能改善 Microsoft \u003Ca href=\"\u002Ftag\u002Fcopilot\">Copilot\u003C\u002Fa> 在健康問題上的回答。因為很多人已經把聊天機器人當成搜尋引擎在用，只是現在會繼續追問、要求更完整的解釋。\u003C\u002Fp>\u003Cp>如果模型真的能把答案建立在醫療證據上，而不是只靠網路語料拼湊，Copilot 就有機會在日常健康問答上更實用，也更能避開高風險內容的誤導。\u003C\u002Fp>\u003Cul>\u003Cli>更完整的診斷說明\u003C\u002Fli>\u003Cli>更清楚的治療選項\u003C\u002Fli>\u003Cli>更可靠的預防保健建議\u003C\u002Fli>\u003Cli>降低對零散網頁來源的依賴\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>5. 其他醫療機構也可能用得上\u003C\u002Fh2>\u003Cp>Mayo Clinic 會擁有這個模型，雙方也提到未來可能授權給其他醫療機構。這表示它不一定只服務 Mayo 自家，而是有機會變成別家醫院也能採用的基礎平台。\u003C\u002Fp>\u003Cp>目前雙方沒有公開投入金額，但都把這件事描述成長期合作。這代表它不是一次性的展示，而是想把 AI 變成醫療流程的一部分。\u003C\u002Fp>\u003Cul>\u003Cli>模型所有權留在 Mayo Clinic\u003C\u002Fli>\u003Cli>有機會授權給其他醫療單位\u003C\u002Fli>\u003Cli>由 Microsoft 提供雲端支援\u003C\u002Fli>\u003Cli>屬於長期建設，不是短期試作\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>怎麼挑\u003C\u002Fh2>\u003Cp>如果你是病人，最值得關注的是入口網站裡的病患助理，因為它可能讓診斷與治療資訊更好懂。若你是醫師或醫療從業者，最先受影響的是院內測試階段，因為臨床人員會先接觸這個模型。\u003C\u002Fp>\u003Cp>如果你關心的是整個 AI 市場，這項合作的關鍵在於：醫療專用模型能不能比一般聊天機器人更安全、更準確。答案若是肯定的，未來醫療 AI 的標準可能會被重新定義。\u003C\u002Fp>","5 種用法看懂 Microsoft 與 Mayo Clinic 如何把 AI 用在醫療建議、臨床支援與更安全的回答上。","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-1780681676255-rvye.png","industry","zh","aaf22634-6e87-4001-a011-6fbf9b24457c",[17,18,19,20,21,22,23,24],"Microsoft","Mayo Clinic","AI","醫療 AI","Copilot","健康問答","臨床支援","病患助理",[26,27,28],"先從臨床人員開始測試，再考慮病患端使用","醫療專用資料是這項合作的核心，不是一般聊天機器人加功能","未來可能授權給其他醫療機構，影響不只 Mayo Clinic",0,"2026-06-05T17:47:24.854111+00:00","2026-06-05T17:47:24.845+00:00","b9101bd7-da5b-4f4d-850a-d28c0da0ceee",{"tags":34,"relatedLang":45,"relatedPosts":49},[35,37,39,41,43],{"name":17,"slug":36},"microsoft",{"name":20,"slug":38},"醫療-ai",{"name":21,"slug":40},"copilot",{"name":18,"slug":42},"mayo-clinic",{"name":19,"slug":44},"ai",{"id":15,"slug":46,"title":47,"language":48},"5-ways-microsoft-and-mayo-clinic-are-using-ai-en","5 ways Microsoft and Mayo Clinic are using AI","en",[50,56,62,68,74,80],{"id":51,"slug":52,"title":53,"cover_image":54,"image_url":54,"created_at":55,"category":13},"f76e68d8-71a0-4ca8-810e-e84ce2bbc67a","why-anthropic-ipo-proves-ai-needs-wall-street-zh","為什麼 Anthropic 的 IPO 計畫證明 AI 仍需要華爾街","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780685271889-tdln.png","2026-06-05T18:47:25.278507+00:00",{"id":57,"slug":58,"title":59,"cover_image":60,"image_url":60,"created_at":61,"category":13},"d3e5ebcb-a5a4-4695-91b9-afc1c6aa4d22","how-to-enroll-in-microsoft-partner-center-zh","怎麼完成 Microsoft Partner Center 註冊","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780680776410-990i.png","2026-06-05T17:32:26.538203+00:00",{"id":63,"slug":64,"title":65,"cover_image":66,"image_url":66,"created_at":67,"category":13},"7ce37f8e-e690-4543-82d8-3968ba46440f","5-things-to-know-about-ppsspp-web-zh","5 個關於 PPSSPP-Web 的重點","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780676275716-7ulr.png","2026-06-05T16:17:29.190685+00:00",{"id":69,"slug":70,"title":71,"cover_image":72,"image_url":72,"created_at":73,"category":13},"d0041096-f433-437c-997e-229d83e33425","zhihu-users-map-out-2024-family-work-travel-zh","知乎 2024 願望清單：家人、工作、旅行","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780674482050-nfr9.png","2026-06-05T15:47:27.336911+00:00",{"id":75,"slug":76,"title":77,"cover_image":78,"image_url":78,"created_at":79,"category":13},"10b5666c-cda7-4262-8299-35966e70f5fc","5-kimi-work-knowledge-worker-uses-zh","5 個 Kimi Work 的知識工作用途","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780672682418-nt11.png","2026-06-05T15:17:34.260098+00:00",{"id":81,"slug":82,"title":83,"cover_image":84,"image_url":84,"created_at":85,"category":13},"bc642279-2934-4055-ad18-2b817a2d763e","5-reasons-to-use-endive-on-the-jvm-zh","5 個在 JVM 上用 Endive 的理由","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780670871318-54cx.png","2026-06-05T14:47:21.999279+00:00",[87,92,97,102,107,112,117,122,127,132],{"id":88,"slug":89,"title":90,"created_at":91},"ee073da7-28b3-4752-a319-5a501459fb87","ai-in-2026-what-actually-matters-now-zh","2026 AI 真正重要的事","2026-03-26T07:09:12.008134+00:00",{"id":93,"slug":94,"title":95,"created_at":96},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 框架瞄準電力、言論與州權","2026-03-26T07:12:18.695466+00:00",{"id":98,"slug":99,"title":100,"created_at":101},"ea6be18b-c903-4e54-97b7-5f7447a612e0","nvidia-gtc-2026-big-ai-announcements-zh","NVIDIA GTC 2026 重點拆解","2026-03-26T07:14:26.62638+00:00",{"id":103,"slug":104,"title":105,"created_at":106},"4bcec76f-4c36-4daa-909f-54cd702f7c93","claude-users-spreading-out-and-getting-better-zh","Claude 用戶更分散，也更會用","2026-03-26T07:22:52.325888+00:00",{"id":108,"slug":109,"title":110,"created_at":111},"bd903b15-2473-4178-9789-b7557816e535","openclaw-raises-hard-question-for-ai-models-zh","OpenClaw 逼問 AI 模型價值","2026-03-26T07:24:54.707486+00:00",{"id":113,"slug":114,"title":115,"created_at":116},"eeac6b9e-ad9d-4831-8eec-8bba3f9bca6a","gap-google-gemini-checkout-fashion-search-zh","Gap 把結帳搬進 Gemini","2026-03-26T07:28:23.937768+00:00",{"id":118,"slug":119,"title":120,"created_at":121},"0740e53f-605d-4d57-8601-c10beb126f3c","google-pushes-gemini-transition-to-march-2026-zh","Google 把 Gemini 轉換延到 2026 年 3…","2026-03-26T07:30:12.825269+00:00",{"id":123,"slug":124,"title":125,"created_at":126},"e660d801-2421-4529-8fa9-86b82b066990","metas-llama-4-benchmark-scandal-gets-worse-zh","Meta Llama 4 分數風波又擴大","2026-03-26T07:34:21.156421+00:00",{"id":128,"slug":129,"title":130,"created_at":131},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 Mistral AI 賣主權 AI","2026-03-26T07:38:14.818906+00:00",{"id":133,"slug":134,"title":135,"created_at":136},"191d9b1b-768a-478c-978c-dd7431a38149","mistral-ai-faces-its-hardest-year-yet-zh","Mistral AI 迎來最硬的一年","2026-03-26T07:40:23.716374+00:00"]