Topic: Clinical decision support

This scientific session examines evidence for AI in clinical care, including diagnostics, decision support and implementation across medical specialties. The programme combines research presentations, specialty updates, discussions of legal and ethical governance, bias and responsible adoption, and practical workshops on integrating AI into clinical workflows. Named participants include Mark Cohen of Carle Illinois College of Medicine, Christopher Tignanelli of the University of Minnesota and Caroline Chung of MD Anderson Cancer Center. Sessions address surgery, emergency medicine, oncology, c

Carnegie Mellon researcher and Abridge co-founder Zachary Lipton discusses where machine learning can help healthcare and why clinical work is harder to automate than software development. The conversation examines medical documentation, decision support, drug discovery, open models and model routing, then turns to academic research, doctoral training and the effects of automation on scientific careers. Hosted by Ravid Shwartz Ziv and Allen Roush. Watch the full conversation on the publisher’s YouTube channel.