{"id":36259,"date":"2026-07-15T13:31:25","date_gmt":"2026-07-15T13:31:25","guid":{"rendered":"https:\/\/itbusinesstoday.com\/?p=36259"},"modified":"2026-07-15T13:31:25","modified_gmt":"2026-07-15T13:31:25","slug":"foundation-models-in-healthcare-the-next-evolution-of-clinical-intelligence","status":"publish","type":"post","link":"https:\/\/itbusinesstoday.com\/ja\/health-tech\/foundation-models-in-healthcare-the-next-evolution-of-clinical-intelligence\/","title":{"rendered":"\u533b\u7642\u5206\u91ce\u306b\u304a\u3051\u308b\u30d5\u30a1\u30a6\u30f3\u30c7\u30fc\u30b7\u30e7\u30f3\u30e2\u30c7\u30eb\uff1a\u81e8\u5e8a\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30b9\u306e\u6b21\u306e\u9032\u5316"},"content":{"rendered":"

A healthcare foundation model is a large AI model trained across multiple forms of medical data such as images, clinical records, genomics, and physiological signals so it can perform many healthcare tasks without being rebuilt for every new problem. Unlike the more classic healthcare AI that was built to handle one task at a time, healthcare foundation models tend to learn patterns that kind of ‘move’ across specialties, settings, and even patient journeys. The World Health Organization’s<\/a> 2026\u5e74\u306e\u898b\u901a\u3057\u306b\u3088\u308b\u3068\u3001\u3053\u3046\u3057\u305f\u5927\u898f\u6a21\u306a\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u30e2\u30c7\u30eb\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u7a2e\u985e\u306e\u5165\u529b\u3092\u53d6\u308a\u8fbc\u307f\u3001\u533b\u7642\u3001\u516c\u8846\u885b\u751f\u3001\u79d1\u5b66\u7814\u7a76\u3001\u5275\u85ac\u3068\u3044\u3063\u305f\u5e45\u5e83\u3044\u5206\u91ce\u306b\u304a\u3044\u3066\u3001\u6975\u3081\u3066\u591a\u69d8\u306a\u51fa\u529b\u3092\u751f\u6210\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3068\u306e\u3053\u3068\u3067\u3059\u3002.<\/p>

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\u30d8\u30eb\u30b9\u30b1\u30a2\u30fb\u30d5\u30a1\u30a6\u30f3\u30c7\u30fc\u30b7\u30e7\u30f3\u30fb\u30e2\u30c7\u30eb\u306e\u57fa\u76e4\u3068\u306a\u308b\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306e\u67f1<\/h2>

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\u3053\u3061\u3089\u3082\u304a\u8aad\u307f\u304f\u3060\u3055\u3044\uff1a \u306a\u305c\u8a8d\u77e5\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u304c\u65e5\u672c\u306e\u6b21\u306e\u88fd\u9020\u696d\u306e\u5f37\u307f\u306b\u306a\u308a\u3064\u3064\u3042\u308b\u306e\u304b<\/a><\/h4>

\u7b2c\u4e00\u306e\u67f1\u306f\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30d3\u30b8\u30e7\u30f3\u3068\u533b\u7642\u7528\u753b\u50cf\u8a3a\u65ad\u3067\u3059\u3002\u306b\u3088\u308b\u3068\u3001 Google Health<\/a>, nearly 90 percent of healthcare data exists in image form. That instantly changes the scale of the problem. Modern healthcare foundation models are no longer limited to reading chest X-rays or flagging fractures. They are learning from digital pathology slides, retinal scans in ophthalmology, and increasingly complex 3D segmentation tasks across CT and MRI volumes. Microsoft’s MedImageParse<\/a> \u3053\u306e\u30e2\u30c7\u30eb\u5358\u4f53\u3067\u306f\u30019\u3064\u306e\u753b\u50cf\u30e2\u30c0\u30ea\u30c6\u30a3\u306882\u306e\u7269\u4f53\u30ab\u30c6\u30b4\u30ea\u306b\u307e\u305f\u304c\u308b600\u4e07\u4ef6\u4ee5\u4e0a\u306e\u753b\u50cf\u30fb\u30de\u30b9\u30af\u30fb\u30c6\u30ad\u30b9\u30c8\u306e\u30c8\u30ea\u30d7\u30eb\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066\u5b66\u7fd2\u304c\u884c\u308f\u308c\u307e\u3057\u305f\u304c\u3001\u305d\u306e3D\u7248\u3067\u306f\u3001\u3053\u308c\u3089\u306e\u6a5f\u80fd\u3092\u4f53\u7a4d\u753b\u50cf\u9818\u57df\u306b\u307e\u3067\u62e1\u5f35\u3057\u3066\u3044\u307e\u3059\u3002.<\/p>

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The third pillar is genomics and physiological signal data. Multi-omics information gets a lot more meaningful, when it’s matched with phenotypic presentation, imaging findings and the patient history. Oracle’s Life Sciences AI Data Platform<\/a> already brings together external datasets along with more than 129 million de-identified longitudinal real world patient records, and that’s pushing multimodal reasoning from “just theory” toward something operationally real.<\/p>

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\u7406\u8ad6\u304b\u3089\u81e8\u5e8a\u73fe\u5834\u3078\u2015\u2015\u81e8\u5e8a\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30b9\u304c\u6a5f\u80fd\u3057\u59cb\u3081\u308b\u5834\u6240<\/h2>

\u771f\u306e\u8a66\u7df4\u306f \u30d8\u30eb\u30b9\u30b1\u30a2<\/a> foundation models is not really if they can pass benchmarks. It is more like, can they survive the noise pressure and the constant ambiguity of a hospital floor at 2 AM, when decisions don’t wait around.<\/p>

One of the clearest examples shows up in automated report generation. Traditional imaging AI was trained to answer very narrow questions, like whether pneumonia exists, or whether a fracture is visible. Healthcare foundation models operate differently. They compare current scans with prior imaging, connect those findings with patient history, and draft structured reports that clinicians can review, edit, and approve. Approaches similar to Microsoft’s CXRReportGen show where the industry is heading. The model stops acting like a detector and starts acting more like a clinical assistant sitting beside the radiologist.<\/p>

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Healthcare foundation models, use image embedding and zero-shot learning to spot abnormal findings and move urgent cases to specialists faster. Rather than looking for just one predefined disease, the model learns the deeper ‘language’ inside medical imaging itself. That distinction matters because medicine constantly produces edge cases that no training dataset anticipated.<\/p>

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\"Foundation<\/p>

\u533b\u7642\u5206\u91ce\u306b\u304a\u3044\u3066\u3001\u30c7\u30fc\u30bf\u4e0d\u8db3\u306b\u60a9\u307e\u3055\u308c\u305f\u3053\u3068\u306f\u4e00\u5ea6\u3082\u3042\u308a\u307e\u305b\u3093\u3002\u554f\u984c\u3068\u306a\u3063\u3066\u3044\u308b\u306e\u306f\u3001\u533b\u7642\u6a5f\u95a2\u3084\u898f\u5236\u3001\u60a3\u8005\u96c6\u56e3\u306e\u67a0\u3092\u8d85\u3048\u3066\u5b89\u5168\u306b\u3084\u308a\u53d6\u308a\u3067\u304d\u308b\u3001\u5b9f\u7528\u7684\u306a\u30c7\u30fc\u30bf\u304c\u4e0d\u8db3\u3057\u3066\u3044\u308b\u3053\u3068\u3067\u3059\u3002\u305d\u3053\u304c\u3001\u533b\u7642\u5206\u91ce\u306e\u57fa\u76e4\u30e2\u30c7\u30eb\u306b\u3068\u3063\u3066\u6700\u5927\u306e\u8ab2\u984c\u3068\u306a\u308b\u306e\u3067\u3059\u3002.<\/p>

\u305d\u306e\u8ab2\u984c\u306e\u4e2d\u5fc3\u306b\u3042\u308b\u306e\u304c\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3067\u3059\u3002HIPAA\u3084GDPR\u3068\u3044\u3063\u305f\u898f\u5236\u306b\u306f\u305d\u308c\u306a\u308a\u306e\u7406\u7531\u304c\u3042\u308b\u305f\u3081\u3001\u75c5\u9662\u306f\u5358\u306b\u60a3\u8005\u306e\u8a18\u9332\u3092\u307e\u3068\u3081\u3066\u5de8\u5927\u306a\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u7528\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u3059\u308b\u3053\u3068\u306f\u3067\u304d\u307e\u305b\u3093\u3002. \u30b8\u30a7\u30cd\u30ec\u30fc\u30c6\u30a3\u30d6AI<\/a> \u306f\u3001\u5408\u6210\u30c7\u30fc\u30bf\u3092\u901a\u3058\u3066\u65b0\u305f\u306a\u89e3\u6c7a\u7b56\u3092\u63d0\u4f9b\u3057\u59cb\u3081\u3066\u3044\u307e\u3059\u3002\u5b9f\u969b\u306e\u60a3\u8005\u60c5\u5831\u3092\u516c\u958b\u3059\u308b\u4ee3\u308f\u308a\u306b\u3001\u30e2\u30c7\u30eb\u306f\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3092\u4fdd\u8b77\u3057\u305f\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u3001\u7d71\u8a08\u7684\u30fb\u81e8\u5e8a\u7684\u7279\u5fb4\u3092\u57fa\u672c\u7684\u306b\u7dad\u6301\u3057\u3064\u3064\u3001\u76f4\u63a5\u7684\u306a\u8b58\u5225\u5b50\u3092\u6392\u9664\u3057\u305f\u3082\u306e\u3067\u3059\u3002\u305d\u306e\u53ef\u80fd\u6027\u306f\u6975\u3081\u3066\u5927\u304d\u3044\u3067\u3059\u304c\u3001\u305d\u308c\u3067\u3082\u306a\u304a\u3001\u5408\u6210\u30c7\u30fc\u30bf\u306b\u3064\u3044\u3066\u306f\u3001\u5e0c\u5c11\u306a\u75be\u60a3\u3084\u5883\u754c\u4e8b\u4f8b\u304c\u30e2\u30c7\u30eb\u306e\u5b66\u7fd2\u5185\u5bb9\u304b\u3089\u77e5\u3089\u306c\u9593\u306b\u9664\u5916\u3055\u308c\u3066\u3044\u306a\u3044\u3053\u3068\u3092\u78ba\u8a8d\u3059\u308b\u305f\u3081\u3001\u614e\u91cd\u306a\u691c\u8a3c\u304c\u5fc5\u8981\u3067\u3059\u3002.<\/p>

\u3055\u3089\u306b\u3001\u30e2\u30c7\u30eb\u30c9\u30ea\u30d5\u30c8\u3068\u3044\u3046\u554f\u984c\u3082\u3042\u308a\u307e\u3059\u304c\u3001\u3053\u308c\u306b\u3064\u3044\u3066\u306f\u672c\u6765\u3042\u308b\u3079\u304d\u307b\u3069\u6ce8\u76ee\u3055\u308c\u3066\u3044\u307e\u305b\u3093\u3002\u75c5\u9662\u306e\u72b6\u6cc1\u306f\u5e38\u306b\u5909\u5316\u3057\u7d9a\u3051\u3066\u3044\u307e\u3059\u3002 \u753b\u50cf\u8a3a\u65ad\u88c5\u7f6e\u304c\u5165\u308c\u66ff\u308f\u3063\u305f\u308a\u3001\u60a3\u8005\u5c64\u304c\u5909\u5316\u3057\u305f\u308a\u3001\u8a3a\u7642\u30d5\u30ed\u30fc\u304c\u66f4\u65b0\u3055\u308c\u305f\u308a\u3001\u3055\u3089\u306b\u306f\u57fa\u790e\u75be\u60a3\u306e\u50be\u5411\u3082\u5909\u5316\u3057\u305f\u308a\u3057\u307e\u3059\u3002\u4eca\u65e5\u3067\u306f\u512a\u308c\u305f\u6027\u80fd\u3092\u793a\u3057\u3066\u3044\u308b\u30e2\u30c7\u30eb\u3067\u3082\u3001\u5f8c\u306b\u306a\u3063\u3066\u6027\u80fd\u304c\u5f90\u3005\u306b\u4f4e\u4e0b\u3059\u308b\u3053\u3068\u304c\u3042\u308a\u3001\u305d\u306e\u969b\u3001\u7279\u306b\u8b66\u544a\u304c\u767a\u305b\u3089\u308c\u308b\u3053\u3068\u3082\u3042\u308a\u307e\u305b\u3093\u3002\u3057\u305f\u304c\u3063\u3066\u3001\u7d99\u7d9a\u7684\u306a\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3068\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u306f\u3001\u5358\u306a\u308b\u6280\u8853\u7684\u306a\u30a2\u30c3\u30d7\u30b0\u30ec\u30fc\u30c9\u3067\u306f\u306a\u304f\u3001\u81e8\u5e8a\u4e0a\u306e\u5b89\u5168\u8981\u4ef6\u3068\u306a\u308b\u306e\u3067\u3059\u3002.<\/p>

\u30d5\u30a7\u30c7\u30ec\u30fc\u30c6\u30c3\u30c9\u30fb\u30e9\u30fc\u30cb\u30f3\u30b0\u306f\u3001\u3053\u306e\u8ab2\u984c\u89e3\u6c7a\u306b\u5411\u3051\u305f\u3082\u3046\u4e00\u3064\u306e\u9375\u3068\u306a\u308a\u307e\u3059\u3002\u75c5\u9662\u9593\u3067\u751f\u306e\u60a3\u8005\u30c7\u30fc\u30bf\u3092\u3084\u308a\u53d6\u308a\u3059\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u30c7\u30fc\u30bf\u306f\u5404\u65bd\u8a2d\u306b\u6b8b\u3057\u305f\u307e\u307e\u3001\u30e2\u30c7\u30eb\u3092\u79fb\u52d5\u3055\u305b\u308b\u4ed5\u7d44\u307f\u3067\u3059\u3002\u5404\u533b\u7642\u6a5f\u95a2\u306f\u3001\u5171\u6709\u3055\u308c\u305f\u77e5\u80fd\u3092\u30ed\u30fc\u30ab\u30eb\u3067\u5b66\u7fd2\u3055\u305b\u3001\u60a3\u8005\u8a18\u9332\u3067\u306f\u306a\u304f\u30e2\u30c7\u30eb\u306e\u6539\u826f\u70b9\u3092\u4ea4\u63db\u3057\u307e\u3059\u3002\u305d\u306e\u7d50\u679c\u3001\u533b\u7642\u30b7\u30b9\u30c6\u30e0\u304c\u300c\u9023\u643a\u300d\u3068\u300c\u6a5f\u5bc6\u4fdd\u6301\u300d\u306e\u3069\u3061\u3089\u304b\u3092\u9078\u3070\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u3068\u3044\u3046\u72b6\u6cc1\u306b\u8ffd\u3044\u8fbc\u307e\u308c\u308b\u3053\u3068\u306a\u304f\u3001\u3088\u308a\u5927\u898f\u6a21\u3067\u591a\u69d8\u306a\u5b66\u7fd2\u74b0\u5883\u3092\u5b9f\u73fe\u3067\u304d\u307e\u3059\u3002.<\/p>

\u533b\u7642AI\u3078\u306e\u4fe1\u983c\u306f\u3001\u5358\u306b\u30e2\u30c7\u30eb\u306e\u898f\u6a21\u3092\u5927\u304d\u304f\u3059\u308b\u3060\u3051\u3067\u306f\u5f97\u3089\u308c\u307e\u305b\u3093\u3002\u533b\u7642\u6a5f\u95a2\u304c\u3001\u305d\u308c\u3089\u306e\u30e2\u30c7\u30eb\u304c\u3069\u306e\u3088\u3046\u306b\u5b66\u7fd2\u3057\u3001\u9069\u5fdc\u3057\u3001\u5931\u6557\u3059\u308b\u306e\u304b\u3092\u8aac\u660e\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u3063\u3066\u521d\u3081\u3066\u3001\u4fe1\u983c\u306f\u5f97\u3089\u308c\u308b\u306e\u3067\u3059\u3002.<\/p>

\u81ea\u5f8b\u578b\u81e8\u5e8a\u30a2\u30b7\u30b9\u30bf\u30f3\u30c8\u306e\u5c06\u6765\u5c55\u671b<\/h2>

\"Foundation<\/p>

\u533b\u7642\u57fa\u76e4\u30e2\u30c7\u30eb\u306e\u6b21\u306e\u6bb5\u968e\u306f\u3001\u30ec\u30dd\u30fc\u30c8\u306e\u4f5c\u6210\u3092\u8fc5\u901f\u5316\u3057\u305f\u308a\u3001\u8a18\u9332\u306e\u8981\u7d04\u3092\u3088\u308a\u7684\u78ba\u306b\u884c\u3063\u305f\u308a\u3059\u308b\u3053\u3068\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u81e8\u5e8a\u533b\u304c\u6700\u7d42\u7684\u306a\u5224\u65ad\u3092\u3057\u3063\u304b\u308a\u3068\u638c\u63e1\u3057\u305f\u307e\u307e\u3001\u523b\u3005\u3068\u5909\u5316\u3059\u308b\u72b6\u6cc1\u306e\u4e2d\u3067\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u306b\u63a8\u8ad6\u3092\u884c\u3046\u3053\u3068\u306b\u3042\u308b\u306e\u3067\u3059\u3002.<\/p>

\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u578bAI\u30b7\u30b9\u30c6\u30e0\u306f\u3001\u753b\u50cf\u8a3a\u65ad\u30c7\u30fc\u30bf\u3068\u691c\u67fb\u5024\u3001\u60a3\u8005\u306e\u80cc\u666f\u60c5\u5831\u3001\u6cbb\u7642\u30d7\u30ed\u30c8\u30b3\u30eb\u3001\u3055\u3089\u306b\u306f\u75c7\u4f8b\u306e\u7d4c\u904e\u4e2d\u306b\u65b0\u305f\u306b\u660e\u3089\u304b\u306b\u306a\u308b\u30a8\u30d3\u30c7\u30f3\u30b9\u306a\u3069\u3092\u7d71\u5408\u3067\u304d\u308b\u3001\u3044\u308f\u3070\u80fd\u52d5\u7684\u306a\u81e8\u5e8a\u30d1\u30fc\u30c8\u30ca\u30fc\u3068\u3057\u3066\u767b\u5834\u3057\u59cb\u3081\u3066\u3044\u307e\u3059\u3002\u305d\u306e\u9055\u3044\u306f\u4e9b\u7d30\u306b\u601d\u3048\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u304c\u3001\u91cd\u8981\u306a\u610f\u5473\u3092\u6301\u3061\u307e\u3059\u3002\u901a\u5e38\u306f AI<\/a> is more like it pauses and waits for clear directions. Agentic systems instead jump into the workflow, point out what’s not yet known, propose the next steps and they flex when fresh findings arrive.<\/p>

\u3053\u306e\u5909\u5316\u306e\u30da\u30fc\u30b9\u306f\u6025\u901f\u306b\u52a0\u901f\u3057\u3066\u3044\u307e\u3059\u3002. AWS<\/a> \u306b\u3088\u308b\u3068\u3001\u5275\u85ac\u306b\u95a2\u9023\u3059\u308b\u516c\u958b\u3055\u308c\u305f\u57fa\u76e4\u30e2\u30c7\u30eb\u306e\u6570\u306f\u30012021\u5e74\u521d\u982d\u306e\u308f\u305a\u304b1\u4ef6\u304b\u3089\u30012025\u5e74\u534a\u3070\u306b\u306f226\u4ef6\u306b\u5897\u52a0\u3057\u305f\u3068\u306e\u3053\u3068\u3067\u3059\u3002.<\/p>

\u533b\u7642\u306f\u81ea\u5f8b\u578b\u533b\u7642\u3078\u3068\u5411\u304b\u3063\u3066\u3044\u308b\u308f\u3051\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u81e8\u5e8a\u5224\u65ad\u306e\u62e1\u5f35\u3078\u3068\u5411\u304b\u3063\u3066\u3044\u308b\u306e\u3067\u3059\u3002\u52dd\u8005\u3068\u306a\u308b\u306e\u306f\u3001AI\u3092\u6700\u3082\u591a\u304f\u5c0e\u5165\u3057\u3066\u3044\u308b\u75c5\u9662\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u4eba\u9593\u306e\u5c02\u9580\u77e5\u8b58\u304c\u3069\u3053\u3067\u7d42\u308f\u308a\u3001\u6a5f\u68b0\u306e\u77e5\u80fd\u304c\u3069\u3053\u304b\u3089\u59cb\u307e\u308b\u304b\u3092\u6b63\u78ba\u306b\u628a\u63e1\u3057\u3066\u3044\u308b\u75c5\u9662\u3053\u305d\u304c\u3001\u52dd\u8005\u3068\u306a\u308b\u3067\u3057\u3087\u3046\u3002.<\/p>","protected":false},"excerpt":{"rendered":"

A healthcare foundation model is a large AI model trained across multiple forms of medical data such as images, clinical records, genomics, and physiological signals so it can perform many healthcare tasks without being rebuilt for every new problem. Unlike the more classic healthcare AI that was built to handle one task at a time, healthcare foundation models tend to learn patterns that kind of ‘move’ across specialties, settings, and even patient journeys. The World Health Organization’s 2026 guidance says that these large multimodal models can take in various kinds of inputs and then generate, pretty diverse outputs, across healthcare, public health, scientific research and drug discovery.That change is important […]<\/p>\n","protected":false},"author":5,"featured_media":36266,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"wprm-recipe-roundup-name":"","wprm-recipe-roundup-description":"","postBodyCss":"","postBodyMargin":[],"postBodyPadding":[],"postBodyBackground":{"backgroundType":"classic","gradient":""},"footnotes":""},"categories":[89,180,201],"tags":[11699,14099,135,14098,392],"ppma_author":[324],"class_list":["post-36259","post","type-post","status-publish","format-standard","has-post-thumbnail","category-health-tech","category-knowledge-hub","category-staff-writers","tag-agentic-ai-system","tag-clinical-intelligence","tag-drug-discovery","tag-google-health","tag-healthcare"],"yoast_head":"\nFoundation Models in Healthcare<\/title>\n<meta name=\"description\" content=\"How multimodal foundation models transform clinical intelligence from medical imaging to EHR workflows. 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