Ziad Obermeyer, Sara Murray join Washington Post Live conversations of medical leaders to discuss how AI could transform healthcare–from breakthroughs in the generative AI era, to ways to equalize care, and generate trust.

Sandya Subramanian leads work to develop new statistical models to quantify “nociception”–unconscious pain–during surgery. This work aims to provide anesthesiologists with reliable, real-time information to provide personalized pain management during surgery.

Adam Yala joins KQED host Alexis Madrigal and other expert panelists to discuss the promise and limits of AI use in healthcare, now and in the future.

Focusing on finding genetic markers in brain-mapping scans, Pratik Mukherjee and colleagues used AI to reveal brain structure patterns that predict autism spectrum disorder with high accuracy, potentially enabling earlier diagnosis and treatment.

Using AI/ ML to search for predictive patterns, Marina Sirota, Alice Tang and colleagues identify intersections between bone health and earlier diagnosis of Alzheimer’s in women.

CPH co-director Ida Sim and colleage Christine Cassel on the ethical issues raised by generative AI and how clinicians and researchers might extend the Belmont Principles to address them on the NEJM Podcast.

Using machine learning and short smartphone videos to assess severity of Parkinson’s Disease symptoms. Reza Abbasi-Asi talks to UCSF News.

CDSS Dean Jennifer Chayes speaks at Joint California Summit on Generative AI.