Current and future state of Artificial Intelligence in Healthcare | Dr. Matthew Lungren

Dr. Matthew Lungren is currently the Chief Medical Information Officer at Nuance Communications - Microsoft company, and also holds part-time appointments with the University of California San Francisco as an Associate Clinical Professor and also as adjunct faculty at Stanford and Duke University. He is a radiologist by training and has led and contributed to multiple projects that use AI and deep learning for medical imaging and precision medicine.
Time stamps from the conversation
00:00:55 Introduction
00:01:46 Role as a Chief Medical Information Officer
00:05:25 Leading research projects in industry
00:08:45 Is AI ready for primetime use case in real-world?
00:12:40 Regulations on AI systems in healthcare
00:17:25 Interpretability vs a robust validation framework
00:25:22 Promising directions to mitigate data issue in medical research
00:32:24 Stable diffusion models
00:34:06 Making datasets public
00:39:00 Vision transformers for multi-modal models
00:44:35 Biomarker discovery
00:48:20 Sentiment of AI in medicine
00:53:26 Bridging communication gap between computer scientists and medical experts
01:01:42 Advice to young researchers from medical and engineering schools
Find Dr. Lungren on social media
Twitter: / mattlungrenmd
LinkedIn: / mattlungrenmd
Also check-out these talks on all available podcast platforms: jayshah.buzzsprout.com
About the Host:
Jay is a PhD student at Arizona State University.
Linkedin: / shahjay22
Twitter: / jaygshah22
Homepage: www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!
**Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.**