CPH in the News
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AI has a bias problem. Can we build something smarter?
Emma Pierson was featured in UC Berkeley News, discussing her work on algorithms and AI/ML methods for improving health care and reducing social inequality to make a healthier and fairer world.
Forbes 30 Under 30 – Healthcare
Congratulations to Serina Chang for being recognized in the Forbes 30 Under 30 Class of 2026 for her contributions to healthcare through the development of AI systems that address societal challenges and build more resilient societies!
UC Berkeley and UCSF Researchers Release Top-Performing AI Model for Medical Imaging
Adam Yala and the researchers at Voio have released Pillar-0, an open-source AI model which analyzes medical images to recognize medical conditions with an unprecedented degree of diagnostic accuracy.
AI—Days of Future Past
JAMA+ AI Associate Editor Yulin Hswen, ScD, MPH, talks with Eric Horvitz, MD, PhD, Chief Scientific Officer at Microsoft, about the future of AI in 5 years to 100 years
AI Model Maps the Brain at Unprecedented Detail and Scale
Reza Abbasi-Asl, PhD, and colleagues from UCSF and the Allen Institute have developed CellTransformer, an AI model capable of creating a fine-grained map of the brain at unprecedented detail and scale. Read the findings in their Nature Communications article.
What EHR Metadata Tell Us About Team-Based Interventions for Inbox Reduction
Host Dr. Christine Sinsky, AMA Vice President of Professional Satisfaction, and guest A Jay Holmgren, Assistant Professor of Medicine at UCSF, and the Center for Clinical Informatics and Improvement Research, discuss how assessing Epic Signal data and other EHR metadata can be a useful tool for evaluating team-based interventions to reduce inbox volume.


