[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-midjourney-medical-scanner-spa-not-clinic-zh":3,"article-related-midjourney-medical-scanner-spa-not-clinic-zh":32,"series-industry-517f41ce-15fc-4e6a-ada2-7c44cc2debce":71},{"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":24,"views":28,"created_at":29,"published_at":30,"topic_cluster_id":31},"517f41ce-15fc-4e6a-ada2-7c44cc2debce","midjourney-medical-scanner-spa-not-clinic-zh","5 個 Midjourney Medical 反轉掃描體驗","\u003Cp data-speakable=\"summary\">這篇整理 Midjourney Medical 的全身超音波\u003Ca href=\"\u002Fnews\u002Fmidjourney-body-scanner-bad-pivot-ai-brand-zh\">掃描器\u003C\u002Fa>、spa 先行策略、資料管線瓶頸與 FDA 風險。\u003C\u002Fp>\u003Cp>讀完這 5 點，你可以判斷它到底是醫療器材、消費服務，還是一個把健康檢查做成日常習慣的長線產品。它的賣點不只在影像，而是把掃描、場域、商業模式一起重做。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>規格 A\u003C\u002Fth>\u003Cth>規格 B\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Midjourney Scanner\u003C\u002Ftd>\u003Ctd>358,000 個超音波元件\u003C\u002Ftd>\u003Ctd>約 0.5 mm 細節目標\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>掃描時間\u003C\u002Ftd>\u003Ctd>目前約 20 分鐘\u003C\u002Ftd>\u003Ctd>目標更快的整體流程\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>資料捕捉\u003C\u002Ftd>\u003Ctd>約 17 GB\u002Fs\u003C\u002Ftd>\u003Ctd>約 2 PFLOPS 運算\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Midjourney Spa\u003C\u002Ftd>\u003Ctd>約 25,000 平方英尺\u003C\u002Ftd>\u003Ctd>約 9 到 10 台掃描器\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. 全身超音波掃描器，走的不是 MRI 路線\u003C\u002Fh2>\u003Cp>Midjourney Medical 的\u003Ca href=\"https:\u002F\u002Fwww.midjourney.com\u002Fmedical\">Midjourney Scanner\u003C\u002Fa>不是把 MRI 再做小，而是用超音波做全身掃描。它避開磁體與游離輻射，想把「常態化掃描」做成更便宜、也更安全的選項。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781907472566-njvh.png\" alt=\"5 個 Midjourney Medical 反轉掃描體驗\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>目前公開的原型規格已經很硬：40 組系統排成一圈、直徑約 70 公分，內部細節目標約 0.5 毫米。這不是單一設備的炫技，而是整套影像平台的起點。\u003C\u002Fp>\u003Cul>\u003Cli>總計 358,000 個超音波元件\u003C\u002Fli>\u003Cli>40 組系統環狀排列\u003C\u002Fli>\u003Cli>70 公分直徑機構\u003C\u002Fli>\u003Cli>目標解析度約 0.5 mm\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. 真正卡住的是資料管線，不是硬體外觀\u003C\u002Fh2>\u003Cp>目前一次掃描大約要 20 分鐘，瓶頸不只在感測器，也在頻寬、演算法、DSP 與資料傳輸基礎設施。換句話說，影像品質要往上走，先得把整個重建流程撐住。\u003C\u002Fp>\u003Cp>它提到的 21 台伺服器、約 2 PFLOPS 運算，以及約 806 TB 原始資料，說明這不是一般醫療設備的工作量。如果未來真能把流程壓到 60 秒內完成，\u003Ca href=\"\u002Fnews\u002Faibox-ax8850-hardware-first-integration-zh\">關鍵\u003C\u002Fa>會是整個系統效能，而不是單顆換能器。\u003C\u002Fp>\u003Cul>\u003Cli>資料捕捉約 17 GB\u002Fs\u003C\u002Fli>\u003Cli>每個身體切片約 40 GB\u003C\u002Fli>\u003Cli>重建用 21 台伺服器\u003C\u002Fli>\u003Cli>目前掃描時間約 20 分鐘\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. 先開 spa，不先開診所\u003C\u002Fh2>\u003Cp>Midjourney Medical 的第一個據點不是醫院或影像中心，而是舊金山 Union Square 的 spa。規劃面積約 25,000 平方英尺，裡面會有熱水池、桑拿、冷水池、健身房，還有約 9 到 10 台掃描器。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781907470015-oyqp.png\" alt=\"5 個 Midjourney Medical 反轉掃描體驗\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這種做法把產品測試場景直接搬到消費者面前。它不只是賣掃描次數，也在測會員、單次付費、spa 套餐，看看人們會不會把健康掃描當成固定行程。\u003C\u002Fp>\u003Cul>\u003Cli>地點：舊金山 Union Square\u003C\u002Fli>\u003Cli>面積：約 25,000 平方英尺\u003C\u002Fli>\u003Cli>設施：熱水池、桑拿、冷水池、健身房\u003C\u002Fli>\u003Cli>目標開幕：2027 年底\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>4. 長期賭注是把健康追蹤變成高頻習慣\u003C\u002Fh2>\u003Cp>David Holz 的敘事不是「做一台更好的掃描機」，而是把它當成預防醫學基礎設施。若掃描足夠安全、便宜、頻繁，理論上就能把身體變化追蹤到日、週、月尺度。\u003C\u002Fp>\u003Cp>但商業落點不會一步到位。Midjourney 已和 FDA 展開討論，最先可能切入的是身體組成分析，因為它比疾病診斷更容易落地。至於聚焦超音波或無切口治療，還在更遠的未來。\u003C\u002Fp>\u003Cul>\u003Cli>Gen 2 目標：2026 年底\u003C\u002Fli>\u003Cli>Gen 3 可能導入客製晶片\u003C\u002Fli>\u003Cli>長期目標：50,000 台掃描器\u003C\u002Fli>\u003Cli>願景：每月 10 億次掃描\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>5. 最大風險在臨床驗證與實際使用\u003C\u002Fh2>\u003Cp>目前最吸睛的是 demo，但最難的是證明它真的有醫療價值。公開內容沒有 sensitivity、specificity，也沒有同行評審的驗證數據。能看出異常，不代表能穩定診斷。\u003C\u002Fp>\u003Cp>還有一串現實問題：過度診斷、隱私、清潔、人力、責任歸屬、保險給付，以及 spa 場域和醫療器材如何同時運作。Midjourney 能不能做出硬體是一回事，能不能進入真正的醫療流程又是另一回事。\u003C\u002Fp>\u003Cul>\u003Cli>FDA 分類仍未明確\u003C\u002Fli>\u003Cli>高頻掃描可能帶來偶發發現\u003C\u002Fli>\u003Cli>資料治理細節尚未公開\u003C\u002Fli>\u003Cli>臨床工作流程仍在摸索\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>怎麼挑\u003C\u002Fh2>\u003Cp>如果你關心的是影像硬體，重點看它的超音波陣列與資料重建能力。如果你在意產品策略，spa 先行比掃描器本身更值得注意。如果你看的是醫療落地，先盯 FDA 與身體組成這個切口，比直接期待診斷產品更合理。\u003C\u002Fp>\u003Cp>整體來看，Midjourney Medical 不是只想做更好的掃描，而是想把全身健康資料\u003Ca href=\"\u002Fnews\u002Fgrok-latest-controversies-regulation-story-zh\">變成\u003C\u002Fa>一種可重複的生活習慣。\u003C\u002Fp>","4 個關鍵變化看懂 Midjourney Medical：超音波全身掃描、spa 先行、資料管線瓶頸與 FDA 風險。","www.latent.space","https:\u002F\u002Fwww.latent.space\u002Fp\u002Fainews-midjourney-medical-scan-your",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781907472566-njvh.png","industry","zh","3cc7411c-1e7c-4528-9e08-544ffe96931f",[17,18,19,20,21,22,23],"Midjourney Medical","全身掃描","超音波","spa 醫療","FDA","預防醫學","資料重建",[25,26,27],"它把全身掃描做成超音波平台，而不是 MRI 的替代品。","spa 不是包裝，而是它的第一個商業與測試場景。","真正難點在資料管線、臨床驗證與 FDA 路徑。",0,"2026-06-19T22:17:21.909164+00:00","2026-06-19T22:17:21.899+00:00","fe20f6f6-432b-47bf-a410-a5f516d885ed",{"tags":33,"relatedLang":11,"relatedPosts":34},[],[35,41,47,53,59,65],{"id":36,"slug":37,"title":38,"cover_image":39,"image_url":39,"created_at":40,"category":13},"9651d9f7-dbae-4f86-bc12-dce1c00aa759","anthropic-arr-47b-valuation-965b-zh","Anthropic估值衝到9650億美元","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781917365234-druf.png","2026-06-20T01:02:26.342505+00:00",{"id":42,"slug":43,"title":44,"cover_image":45,"image_url":45,"created_at":46,"category":13},"74ba2476-552e-41cc-be3a-e0a7eef0ff88","2026-msi-daejeon-format-teams-dates-zh","2026 MSI落地大田，格式更新更緊湊","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781911081161-llyh.png","2026-06-19T23:17:36.419773+00:00",{"id":48,"slug":49,"title":50,"cover_image":51,"image_url":51,"created_at":52,"category":13},"b40ebccb-7ef1-4cd7-8031-33d6d558f983","midjourney-body-scanner-bad-pivot-ai-brand-zh","Midjourney 的身體掃描器是個糟糕的品牌轉向","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781906564881-fwno.png","2026-06-19T22:02:21.604869+00:00",{"id":54,"slug":55,"title":56,"cover_image":57,"image_url":57,"created_at":58,"category":13},"5a410687-834e-4767-8bac-11251400de18","pentagon-should-not-use-grok-wartime-targeting-zh","五角大廈不該用 Grok 做戰時打擊決策","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781903867710-wz9f.png","2026-06-19T21:17:18.215115+00:00",{"id":60,"slug":61,"title":62,"cover_image":63,"image_url":63,"created_at":64,"category":13},"1570bfba-1886-43c4-a0c6-5ef97b5da551","grok-latest-controversies-regulation-story-zh","5 則 Grok 爭議，已變成監管問題","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781902971533-q3fy.png","2026-06-19T21:02:21.155982+00:00",{"id":66,"slug":67,"title":68,"cover_image":69,"image_url":69,"created_at":70,"category":13},"82982d74-02ac-4638-adf7-fc28d119c252","aibox-ax8850-hardware-first-integration-zh","AIBOX 不是拼軟體，關鍵在把 AX8850 的硬體吃滿","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781900274678-ladh.png","2026-06-19T20:17:23.586922+00:00",[72,77,82,87,92,97,102,107,112,117],{"id":73,"slug":74,"title":75,"created_at":76},"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":78,"slug":79,"title":80,"created_at":81},"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":83,"slug":84,"title":85,"created_at":86},"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":88,"slug":89,"title":90,"created_at":91},"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":93,"slug":94,"title":95,"created_at":96},"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":98,"slug":99,"title":100,"created_at":101},"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":103,"slug":104,"title":105,"created_at":106},"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":108,"slug":109,"title":110,"created_at":111},"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":113,"slug":114,"title":115,"created_at":116},"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":118,"slug":119,"title":120,"created_at":121},"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"]