In this EMRA*Cast episode of Bridging Health and Humanity, host Natalie Hernandez speaks with Dr. Maya Yiadom, MD, MPH, MSCI, an associate professor and director of Precision Analytics and Data Integration in Emergency Medicine at Stanford, about how artificial intelligence is reshaping emergency care.
They discuss practical AI already in use (predictive analytics and ambient AI scribes), how AI can be designed from clinical workflows to improve detection and timeliness (for example, speeding recognition of STEMI), and the promise of tools that reduce documentation burden and support decision-making.
Dr. Yiadom also grapples with real risks — biased training data, subgroup performance, privacy and cloud constraints — and emphasizes protecting trainee learning while teaching residents how to use AI responsibly. She closes on an optimistic note: AI as a fail-safe that augments clinicians' judgment rather than replaces the human art of medicine.