{"id":3306,"date":"2025-11-18T08:00:00","date_gmt":"2025-11-18T16:00:00","guid":{"rendered":""},"modified":"2026-04-09T09:00:38","modified_gmt":"2026-04-09T16:00:38","slug":"agentic-ai-in-action-healthcare-innovation-at-microsoft-ignite-2025","status":"publish","type":"ms-industry","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-cloud\/blog\/healthcare\/2025\/11\/18\/agentic-ai-in-action-healthcare-innovation-at-microsoft-ignite-2025\/","title":{"rendered":"Agentic AI in action: Healthcare innovation at Microsoft Ignite 2025"},"content":{"rendered":"\n<aside class=\"table-of-contents-block accordion wp-block-bloginabox-theme-table-of-contents\" id=\"accordion-fb765f2b-8fd2-45c4-a8b6-7feb93a6e551\" data-bi-aN=\"table-of-contents\">\n\t<button class=\"btn btn-collapse\" type=\"button\" aria-expanded=\"true\" aria-controls=\"accordion-collapse-fb765f2b-8fd2-45c4-a8b6-7feb93a6e551\">\n\t\t<span class=\"table-of-contents-block__label\">In this article<\/span>\n\t\t<span class=\"table-of-contents-block__current\" aria-hidden=\"true\"><\/span>\n\n\t\t<svg class=\"table-of-contents-block__arrow\" aria-label=\"Toggle arrow\" width=\"18\" height=\"11\" viewBox=\"0 0 18 11\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n\t\t\t<path d=\"M15.7761 11L18 8.82043L9 0L0 8.82043L2.22394 11L9 4.35913L15.7761 11Z\" fill=\"currentColor\" \/>\n\t\t<\/svg>\n\t<\/button>\n\t<div id=\"accordion-collapse-fb765f2b-8fd2-45c4-a8b6-7feb93a6e551\" class=\"table-of-contents-block__collapse-wrapper collapse show\" data-parent=\"#accordion-fb765f2b-8fd2-45c4-a8b6-7feb93a6e551\">\n\t\t<div class=\"table-of-contents-block__content\">\n\t\t\t<ol class=\"table-of-contents-block__list\"><li class=\"table-of-contents-block__list-item\"><a class=\"table-of-contents-block__list-item-link\" href=\"#achieving-impact-with-premium-ai-models-practical-tools-and-real-world-deployments\">Achieving impact with premium AI models, practical tools, and real-world deployments<\/a><\/li><li class=\"table-of-contents-block__list-item\"><a class=\"table-of-contents-block__list-item-link\" href=\"#fueling-innovation-with-a-growing-healthcare-ai-model-catalog\">Fueling innovation with a growing healthcare AI model catalog<\/a><\/li><li class=\"table-of-contents-block__list-item\"><a class=\"table-of-contents-block__list-item-link\" href=\"#empowering-confident-model-selection-with-a-purpose-built-evaluation-tool-for-healthcare\">Empowering confident model selection with a purpose-built evaluation tool for healthcare<\/a><\/li><li class=\"table-of-contents-block__list-item\"><a class=\"table-of-contents-block__list-item-link\" href=\"#real-world-use-cases-impact-across-diverse-healthcare-environments\">Real-world use cases: Impact across diverse healthcare environments<\/a><\/li><li class=\"table-of-contents-block__list-item\"><a class=\"table-of-contents-block__list-item-link\" href=\"#take-action-to-lead-the-future-of-healthcare\">Take action to lead the future of healthcare<\/a><\/li><\/ol>\t\t<\/div>\n\t<\/div>\n\t<span class=\"table-of-contents-block__progress-bar\"><\/span>\n<\/aside>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"achieving-impact-with-premium-ai-models-practical-tools-and-real-world-deployments\">Achieving impact with premium AI models, practical tools, and real-world deployments<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Healthcare leaders face unprecedented challenges: rising labor costs, clinician workforce shortages, and the pressure to deliver safer, faster, and more personalized care. Microsoft\u2019s AI technologies represent a leap forward in how organizations can automate clinical workflows, extract actionable insights from multimodal data, and drive performance. As part of this effort, Microsoft is introducing proprietary healthcare AI models, now available in <a href=\"https:\/\/ai.azure.com\/explore\/models?tid=72f988bf-86f1-41af-91ab-2d7cd011db47&amp;selectedIndustryFilter=health-and-life-sciences\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Foundry<\/a>, and healthcare AI model evaluator, a user-friendly tool <a href=\"https:\/\/github.com\/microsoft\/Healthcare-AI-Model-Evaluator\" target=\"_blank\" rel=\"noreferrer noopener\">available for download on GitHub<\/a> that allows teams to compare and assess AI model performance.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-a89b3969 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/ai.azure.com\/explore\/models?tid=72f988bf-86f1-41af-91ab-2d7cd011db47&amp;selectedIndustryFilter=health-and-life-sciences\">Explore healthcare AI models in Microsoft Foundry<\/a><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"fueling-innovation-with-a-growing-healthcare-ai-model-catalog\">Fueling innovation with a growing healthcare AI model catalog<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/industry\/blog\/healthcare\/2024\/10\/10\/unlocking-next-generation-ai-capabilities-with-healthcare-ai-models\/\" target=\"_blank\" rel=\"noreferrer noopener\">In spring 2024<\/a>, Microsoft introduced healthcare AI models in Foundry\u2014a collection of cutting-edge open source multimodal medical imaging models specifically designed for testing, fine-tuning, and building AI solutions tailored to healthcare-specific tasks. Along with partner offerings, Microsoft introduced three foundation models\u2014MedImageInsight, MedImageParse, and CXRReportGen\u2014with the goal of minimizing the compute and data requirements typically needed to build multimodal models from scratch. A year and a half later, the catalog now features more than 50 first-party and third-party models for a range of modalities, including radiology, pathology, dermatology, protein, and more.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Now, Microsoft is introducing two new proprietary AI models, <strong>MedImageInsight Premium<\/strong> and <strong>CXRReportGen Premium<\/strong> that set new benchmarks for accuracy and sensitivity in clinical imaging.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">MedImageInsight Premium supports imaging applications across X-rays, MRIs, dermatology, and pathology, delivering up to 7\u201315% higher accuracy and requiring less fine-tuning than its open-source counterpart. It allows for image quality assessment, classification, search, metadata analysis, outlier detection, and supports regulatory workflows such as institutional review board submissions for FDA compliance. CXRReportGen Premium, optimized for chest X-ray report generation, has been further trained with massive amounts of real-world data to help create higher quality reports more similar to those used in clinic.<\/p>\n\n\n\n<figure class=\"wp-block-table aligncenter\"><table class=\"has-fixed-layout\"><thead><tr><th><strong>Modality and Measure<\/strong><\/th><th><strong>Relative Gain (%) vs. MI2 Open Source<\/strong><\/th><\/tr><\/thead><tbody><tr><td>CXR mAUC<\/td><td>5.8<\/td><\/tr><tr><td>XR Exam mAUC<\/td><td>2.9<\/td><\/tr><tr><td>MG Cancer AUC<\/td><td>7.2<\/td><\/tr><tr><td>CT Lung mAUC<\/td><td>9.9<\/td><\/tr><tr><td>US Breast Cancer AUC<\/td><td>1.5<\/td><\/tr><tr><td>Fundus mAUC<\/td><td>1.9<\/td><\/tr><\/tbody><\/table><figcaption class=\"wp-element-caption\">Table 1: Improvements in area under ROC curve compared to open source MI2 according to internal Microsoft research.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Organizations across the healthcare ecosystem can use these proprietary models to help address real clinical needs across diverse healthcare environments.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"empowering-confident-model-selection-with-a-purpose-built-evaluation-tool-for-healthcare\">Empowering confident model selection with a purpose-built evaluation tool for healthcare<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">To help ensure agentic AI delivers meaningful results in healthcare, organizations should select models that have demonstrated effectiveness for their specific tasks. Healthcare AI model evaluator, <a href=\"https:\/\/aka.ms\/evaluator_github\" target=\"_blank\" rel=\"noreferrer noopener\">available now on GitHub<\/a>, enables teams to test and validate model performance on relevant clinical tasks using their own data and in their own environment. Its intuitive and flexible interface allows organizations to create custom tests and designate human experts or AI models to evaluate the output. Purpose-built for healthcare needs, the evaluator supports evidence-based model selection to help reduce risk and build trust in AI.<\/p>\n\n\n\n<figure class=\"wp-block-bloginabox-theme-ump-embed wp-block-msx-ump-embed\" class=\"wp-block-bloginabox-theme-ump-embed\">\n\t<div class=\"wp-block-embed__wrapper\">\n\t\t<universal-media-player id=\"ump-69dfdba0ab9c9\"><\/universal-media-player>\n\t\t<script type=\"module\">\n\t\t\tconst currentTheme =\n\t\t\t\tlocalStorage.getItem('blogInABoxCurrentTheme') ||\n\t\t\t\t(window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light');\n\n\t\t\t\/\/ Modify player theme based on localStorage value.\n\t\t\tlet options = {\"autoplay\":false,\"hideControls\":null,\"language\":\"en-us\",\"loop\":false,\"partnerName\":\"cloud-blogs\",\"poster\":\"https:\\\/\\\/cm-edgetun.pages.dev\\\/en-us\\\/industry\\\/blog\\\/wp-content\\\/uploads\\\/2025\\\/11\\\/1093183-Healthcare-AI-model-evaluator_thumbnail_en-us.png\",\"title\":\"\",\"sources\":[{\"src\":\"https:\\\/\\\/cdn-dynmedia-1.microsoft.com\\\/is\\\/content\\\/microsoftcorp\\\/1093183-Healthcare-AI-model-evaluator-0x1080-6439k\",\"type\":\"video\\\/mp4\",\"quality\":\"HQ\"},{\"src\":\"https:\\\/\\\/cdn-dynmedia-1.microsoft.com\\\/is\\\/content\\\/microsoftcorp\\\/1093183-Healthcare-AI-model-evaluator-0x720-3266k\",\"type\":\"video\\\/mp4\",\"quality\":\"HD\"},{\"src\":\"https:\\\/\\\/cdn-dynmedia-1.microsoft.com\\\/is\\\/content\\\/microsoftcorp\\\/1093183-Healthcare-AI-model-evaluator-0x540-2160k\",\"type\":\"video\\\/mp4\",\"quality\":\"SD\"},{\"src\":\"https:\\\/\\\/cdn-dynmedia-1.microsoft.com\\\/is\\\/content\\\/microsoftcorp\\\/1093183-Healthcare-AI-model-evaluator-0x360-958k\",\"type\":\"video\\\/mp4\",\"quality\":\"LO\"}],\"ccFiles\":[{\"url\":\"https:\\\/\\\/cm-edgetun.pages.dev\\\/en-us\\\/microsoft-cloud\\\/blog\\\/wp-json\\\/bloginabox\\\/v1\\\/get-captions?url=https%3A%2F%2Fcm-edgetun.pages.dev%2Fcontent%2Fdam%2Fmicrosoft%2Fbade%2Fvideos%2Fproducts-and-services%2Fen-us%2Fmicrosoft-365%2F1093183-healthcare-ai-model-evaluator%2F1093183-Healthcare-AI-model-evaluator_cc_en-us.ttml\",\"locale\":\"en-us\",\"ccType\":\"TTML\"}]};\n\n\t\t\tif (currentTheme) {\n\t\t\t\toptions.playButtonTheme = currentTheme;\n\t\t\t}\n\n\t\t\tdocument.addEventListener('DOMContentLoaded', () => {\n\t\t\t\tump(\"ump-69dfdba0ab9c9\", options);\n\t\t\t});\n\t\t<\/script>\n\t<\/div>\n\t<\/figure>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-a89b3969 wp-block-buttons-is-layout-flex\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"real-world-use-cases-impact-across-diverse-healthcare-environments\">Real-world use cases: Impact across diverse healthcare environments<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Healthcare agent orchestrator, <a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/industry\/blog\/healthcare\/2025\/05\/19\/developing-next-generation-cancer-care-management-with-multi-agent-orchestration\/\" target=\"_blank\" rel=\"noreferrer noopener\">unveiled at Microsoft Build 2025<\/a> and available in the\u202f<a href=\"https:\/\/aka.ms\/healthcareorchestrator\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Foundry Agent Catalog<\/a>, features pre-configured agents with multi-agent orchestration and open-source customization options that aid in the creation of agents that coordinate complex workflows. Modular, general reasoners as well as specialized, multimodal AI agents work together to address tasks that could take hours.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Oxford University&#8217;s Department of Oncology, in collaboration with Microsoft, has built and deployed three TrustedMDT agents. The agents integrate with <a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-teams\/group-chat-software\/\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Teams<\/a> and summarize patient charts, determine cancer staging, and draft guideline-compliant treatment plans for review by tumor boards. An evaluation and pilot is due to begin at Oxford University Hospitals NHS Foundation Trust in first quarter of 2026. If successful, Oxford hopes to expand into the live clinical pathway following the study\u2019s conclusion, generating vital clinical evidence to support scaling across United Kingdom academic medical centers. Dr. Andrew\u202fSoltan MD PhD, National Institute for Health and Care Research (NIHR) Academic Clinical Lecturer and Honorary Specialty Registrar in Medical Oncology at Oxford University Hospitals, shares his story at the Microsoft Ignite breakout session, <a href=\"https:\/\/ignite.microsoft.com\/en-US\/sessions\/BRK373?source=sessions\" target=\"_blank\" rel=\"noreferrer noopener\">From Code to Care: Empowering Healthcare with Agentic AI,<\/a>\u200b on Thursday, November 20.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These achievements in agent development showcase the opportunity for impact and reach of agentic AI solutions in diverse healthcare environments\u2014especially when task-specific agents are available for purchase and deployment by other healthcare organizations. In September 2025, Microsoft <a href=\"https:\/\/blogs.microsoft.com\/blog\/2025\/09\/25\/introducing-microsoft-marketplace-thousands-of-solutions-millions-of-customers-one-marketplace\/\" target=\"_blank\" rel=\"noreferrer noopener\">introduced Microsoft Marketplace<\/a>, a single destination to find, try, buy, and deploy cloud solutions, AI apps, and agents. Organizations can publish, monetize, and distribute their healthcare agents and solutions through the Marketplace, turning their expertise into scalable business opportunities.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The Atropos Evidence Agent, <a href=\"https:\/\/www.atroposhealth.com\/atropos-health-launches-the-atropos-evidence-agent-at-stanford-health-care-and-collaborates-with-microsoft-to-improve-evidence-based-personalized-medicine-at-the-point-of-care\/\" target=\"_blank\" rel=\"noreferrer noopener\">announced in October 2025 by Atropos Health<\/a>, answers clinical questions within a physician\u2019s workflow\u2014without the physician even needing to ask a question. Whether it\u2019s for\u202fpre-visit planning or during the encounter, the Atropos Evidence\u202fAgent draws from patient-level data and surfaces real-world evidence for the provider. Using the healthcare agent orchestrator multi-agent framework, the Atropos Evidence Agent synthesizes real-world data and scientific literature to proactively deliver personalized evidence to clinicians and answer complex questions in minutes without leaving the electronic health record (EHR) workflow. Learn more at their session, <a href=\"https:\/\/ignite.microsoft.com\/en-US\/sessions\/8b4709af-415c-458b-8d6a-f718c8009bd5\" target=\"_blank\" rel=\"noreferrer noopener\">Ambient Evidence Automation at the Point of Care<\/a>, in the Industry Showcase in the Microsoft Ignite Hub on Tuesday, November 18.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">UiPath Maestro\u2122 orchestrates specialized Foundry and <a href=\"https:\/\/www.uipath.com\/solutions\/industry\/healthcare-automation\" target=\"_blank\" rel=\"noreferrer noopener\">UiPath agents<\/a> to synthesize historical records with incidental findings from imaging studies. It transforms raw data into actionable insights that can reduce clinician workload, speed care delivery, and drive measurable impact. Hear their story at the Industry Showcase session, <a href=\"https:\/\/ignite.microsoft.com\/en-US\/sessions\/THR1612?source=sessions\" target=\"_blank\" rel=\"noreferrer noopener\">From Insight to Impact: How UiPath Agentic Automation and Azure AI Foundry are Redefining Care Processes<\/a>, on Thursday, November 20.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">From tumor boards workflows to personalized evidence with automated follow-up, these deployments underscore the power of AI for helping to enhance diagnostic speed, accuracy, and efficiency, while supporting safer, more informed care decisions.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"take-action-to-lead-the-future-of-healthcare\">Take action to lead the future of healthcare<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/industry\/health\/microsoft-cloud-for-healthcare\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft for Healthcare<\/a> AI is more than a technology upgrade, it\u2019s a practical, high-impact solution for healthcare organizations ready to lead in clinical innovation. With AI models, benchmarking tools, and multi-agent frameworks, leaders can automate workflows, improve patient outcomes, and drive safer care at scale.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-a89b3969 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/ai.azure.com\/explore\/models?tid=72f988bf-86f1-41af-91ab-2d7cd011db47&amp;selectedIndustryFilter=health-and-life-sciences\">Explore healthcare AI models in Foundry<\/a><\/div>\n<\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">Attend the&nbsp;<a href=\"https:\/\/ignite.microsoft.com\/en-US\/sessions?search=Healthcare+Lab&amp;sortBy=relevance\" target=\"_blank\" rel=\"noreferrer noopener\">Microsoft Ignite 2025 sessions<\/a>&nbsp;mentioned above,&nbsp;or join one or all three 75-minute labs at Ignite 2025,&nbsp;and learn hands-on how to work with healthcare AI models, extend Dragon Copilot with partner-built AI solutions, or see multi-agent orchestration in action.<\/li>\n\n\n\n<li class=\"wp-block-list-item\">Visit <a href=\"https:\/\/ai.azure.com\/explore\/models?tid=72f988bf-86f1-41af-91ab-2d7cd011db47&amp;selectedIndustryFilter=health-and-life-sciences\" target=\"_blank\" rel=\"noreferrer noopener\">Foundry<\/a> today to access the healthcare AI model catalog and healthcare agent orchestrator.<\/li>\n\n\n\n<li class=\"wp-block-list-item\"><a href=\"https:\/\/aka.ms\/evaluator_github\" target=\"_blank\" rel=\"noreferrer noopener\">Download healthcare AI model evaluator from GitHub<\/a>.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The future of healthcare is agentic, data-driven, and collaborative. Take the next step\u2014evaluate, deploy, and scale Microsoft\u2019s AI solutions and work towards advancing care delivery today.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Agentic AI is reshaping healthcare innovation. With new proprietary models and practical tools, Microsoft is helping healthcare teams tackle workforce shortages and data complexity. Discover how MedImageInsight Premium and CXRReportGen Premium are setting new standards in clinical imaging.<\/p>\n","protected":false},"author":0,"featured_media":12125,"template":"","categories":[1114],"tags":[1374,1464,1399],"content-type":[120,115],"job-function":[],"coauthors":[241],"class_list":["post-3306","ms-industry","type-ms-industry","status-publish","has-post-thumbnail","hentry","category-healthcare","tag-ai","tag-azure","tag-microsoft-teams","content-type-events","content-type-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Agentic AI: Shaping the future of healthcare innovation | The Microsoft Cloud Blog<\/title>\n<meta name=\"description\" content=\"Discover how agentic AI helps healthcare teams build smarter imaging solutions and tackle workforce challenges with Microsoft\u2019s latest tools and models.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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