Exploring the intersection of English and biology in academia, the chapter reflects on the value of interdisciplinary perspectives and problem-solving skills in the guest's career evolution towards radiology and AI. From the captivating realm of interventional radiology to the revolutionary advances in digital health and machine learning, the narrative emphasizes the significance of open data sharing and collaboration for driving innovation in healthcare and technology.
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.