Artificial Intelligence (AI), in many forms, holds promise for new insights and better treatments across the range of disease and prevention. Yet, it is essential that the AI insights and predictions be clinically relevant and applicable. In this panel, four thought leaders examine what it takes to bridge the gap between the promise of technology and the complexity of medical practice.

Slides: https://ucsf.box.com/s/m05bu7pptnxxegv6os7qkfi2scag3n56 (MyAccess login required)