AI Clinical Predictive Models

Seth and Jeremy discuss the challenges of AI models in clinical settings, highlighting the issue of generalizability and model brittleness. They caution against overreliance on locally successful results and emphasize the importance of skepticism when interpreting model performance outside of specific trials.