Generalizable healthcare AI (artificial intelligence) is capable of consistently performing regardless of any bias including race, equipment, provider, or clinical setting. Achieving generalizability requires access to highly diverse data sets typically found only across multiple institutions. Timely access to data is proving to be one of the most significant barriers to delivering on the promise of AI in healthcare.
Speakers: Michael Blum, MD, Chief Digital Transformation Officer, Founder of UFSC Center for Digital Health Innovation at CDHI
Richard Searle, Senior Security Architect & Customer Solutions Director at Fortanix,
Bob Rogers, Expert in Residence for AI at CDHI,
Paul King, Security & Trust Advisor for BeeKeeper AI
Apr 29th, 2021, Thursday, 9:00 AM PST | 5:00 PM BST | 6:00 PM CET