Bridging Health and Humanity: AI in EM

Bridging Health and Humanity: AI in EM

From EMRA*Cast by Emergency Medicine Residents' Association

March 13, 2026 · 28 min

About this episode

This episode discusses the impact of artificial intelligence on emergency medicine with insights from Dr. Maya Yiadom.

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.

People in this episode

Host: Natalie Hernandez

Guest: Dr. Maya Yiadom

Topics covered

  • artificial intelligence
  • emergency medicine
  • predictive analytics
  • clinical workflows
  • medical documentation
  • trainee education

Keywords

  • AI
  • emergency care
  • STEMI
  • ambient AI scribes
  • decision-making
  • documentation burden
  • biased training data

Mentioned in this episode

Organizations: Stanford, Emergency Medicine Residents' Association

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