Medicine and AI

The roundtable examines how artificial intelligence is transforming medicine -- from protein language models that predict genomic variant effects to clinical large language models deployed across hospital systems. The panel explores questions of trust, evidence, and equity: How should clinicians evaluate AI tools trained on millions of patient records? Can algorithmic fairness frameworks prevent health disparities from being encoded into predictive models? What happens when digital biomarkers from wearable sensors or AI-analyzed pathology slides become the basis for clinical decisions? The discussion spans genomic AI, computational neuropathology, mobile mental health sensing, health system AI deployment, and the challenge of building equitable, evidence-based AI for patient care.