Advancements in Healthcare Innovation at Microsoft

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The chapter explores Microsoft's healthcare innovation, focusing on multimodal research collaborations and challenging traditional thinking with projects like rat dino. It emphasizes the importance of comprehensive data analysis and establishing guardrails to ensure the ethical and safe use of AI in healthcare. The discussion also highlights the role of startups and Microsoft's support programs in driving innovation within the healthcare AI ecosystem.

This week, we’re super excited to chat with Dr. Matt Lungren, Chief Data Science Officer for Microsoft Health & Life Sciences.

At Microsoft, Dr. Lungren focuses on translating cutting-edge technology, including general AI and cloud services, into innovative healthcare applications. As a physician and clinical machine learning researcher, he maintains a part-time clinical practice at UCSF while also continuing his research and teaching roles as adjunct professor at Stanford.

Prior to his role at Microsoft, Dr. Lungren was a clinical interventional radiologist and research faculty at Stanford Medical School where he led the Stanford Center for artificial intelligence and medicine and imaging. His scientific work has led to more than 150 publications including work on multimodal data fusion models for healthcare applications. On top of all of that, Dr. Lungren is also a top-rated instructor on Coursera with his AI and Healthcare course designed to help learners with non-technical backgrounds.

In this episode, we talk about Matt’s clinical, academic, and private sector experiences, how technology within the radiology field has developed throughout time, and exciting new Microsoft HLS Research projects and the impact of AI research on healthcare.