Maya Petersen
maya-petersen.bsky.social
Maya Petersen
@maya-petersen.bsky.social
Professor of Biostatistics, Epidemiology, and Computational Precision Health

University of California, Berkeley
University of California, San Francisco
Reposted by Maya Petersen
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March 12, 2025 at 3:11 PM
Reposted by Maya Petersen
Real world data (RWD) analyses need diverse expertise in medicine/stats/causality. As a result, RWD causal analysis is slow and prone to error. AI tools can help.

Perspective in NEJM AI w/Maya Petersen, @amalaa.bsky.social, Chris Holmes, Mark van der Laan

ai.nejm.org/stoken/defau...
Artificial Intelligence–Based Copilots to Generate Causal Evidence
While there is growing consensus that real-world data should play a larger role in generating causal evidence for health care, it is less clear whether and how AI can help. Current approaches to AI...
ai.nejm.org
January 10, 2025 at 4:29 PM