Where Evidence-Based Medicine Meets AI: Promise, Pitfalls, and Practice

June 21, 2026

Lee S, Davis J, Milne K, Shenvi C, Beattie LK, Wegman M, Melville L, Shih RD, Kane B. AEM Education and Training (2026).

How can artificial intelligence strengthen evidence-based emergency medicine? This article explores AI’s potential to improve access to high-quality evidence across the evidence cycle, from retrieving and appraising research to synthesizing findings and translating evidence into clinical practice. It also examines the promise and pitfalls of integrating AI into evidence-based medicine.

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Published Research from the HUMAI Faculty

Explore peer-reviewed research and scholarly contributions from HUMAI co-chair Dr. Ken Milne and colleagues, examining how artificial intelligence can be used responsibly in medicine and how to protect the integrity of evidence-based healthcare.