Microsoft is collaborating with Mass General Brigham and the University of Wisconsin (UW) School of Medicine and Public Health along with its partnering health system, UW Health, to support research on AI in medical imaging.
The collaborations will foster research tied to advancing multimodal AI foundation models that build on top of the Microsoft Azure AI platform and extend the Nuance (a Microsoft company) suite of radiology applications, according to Microsoft. In addition, Microsoft and the institutions plan to explore how advanced algorithms and applications can help radiologists and other clinicians interpret medical images, as well as assist with report generation, disease classification, and structured data analysis.
Through these collaborations, researchers and clinicians at the health institutions will work with Microsoft to further advance multimodal foundation models. This includes developing, testing, and validating the latest technology, as well as deploying real-world use cases into clinical workflows, according to Microsoft.













![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)





