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Microsoft expands AI capabilities to shape a healthier future

On Thursday, Microsoft Corp. is unveiling several Microsoft Cloud for Healthcare innovations that connect care experiences, enhance team collaboration, empower healthcare workers, and unlock clinical and operational insights.

Through new healthcare AI models in Azure AI Studio, capabilities for healthcare data solutions in Microsoft Fabric, the healthcare agent service in Copilot Studio, and an AI-driven nursing workflow solution, Microsoft Cloud for Healthcare is supporting healthcare organizations on every step of their journey toward shaping a healthier future.

“We are at an inflection point where AI breakthroughs are fundamentally changing the way we work and live,” said Joe Petro, corporate vice president, Healthcare and Life Sciences Solutions and Platforms at Microsoft. “Across the broader healthcare and life sciences industry, these advancements are dramatically enhancing patient care and also rekindling the joy of practicing medicine for clinicians. Microsoft’s AI-powered solutions are helping lead these efforts by streamlining workflows, improving data integration, and utilizing AI to deliver better outcomes for healthcare professionals, researchers and scientists, payors, providers, medtech developers, and ultimately the patients they all serve.”

Expanding the reach of AI beyond text: healthcare AI models in Azure AI Studio

Microsoft is announcing the launch of , a collection of cutting-edge multimodal medical imaging foundation models available in the Azure AI model catalog. Developed in collaboration with partners like Providence and these models enable healthcare organizations to integrate and analyze diverse data types – ranging from medical imaging to genomics and clinical records. By using these advanced models as a foundation, healthcare organizations can rapidly build, fine-tune and deploy AI solutions tailored to their specific needs, all while minimizing the extensive compute and data requirements typically associated with building multimodal models from scratch.

“The development of foundational AI models in pathology and medical imaging is expected to drive significant advancements in cancer research and diagnostics,” said Carlo Bifulco, MD, chief medical officer of Providence Genomics and a co-author of the Prov-GigaPath study. “These models can complement human expertise by providing insights beyond traditional visual interpretation and, as we move toward a more integrated, multimodal approach, will reshape the future of medicine.”

Harnessing the power of healthcare data with Microsoft Fabric

Historically, healthcare data has been difficult to access due to its unstructured nature and the limitations of existing data management systems. These challenges have limited organizations’ ability to gain a comprehensive view of patient experiences and access valuable insights.

With the general availability of , healthcare organizations can overcome these barriers by reshaping how users access, manage and act on data with a single, unified AI-powered platform. Additionally, healthcare security application templates for Microsoft Purview, an innovative suite of features designed to help govern healthcare data, are available in public preview. We’re also launching new capabilities in public preview within healthcare data solutions in Microsoft Fabric including:

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