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

Journal article

Open access

Peer reviewed

Sangil Lee, Joshua Davis, Ken Milne, Christina Shenvi, Lars K. Beattie, Martin Wegman, Laura Melville, Richard D. Shih and Bryan Kane

AEM education and training, Vol.10(3), e70210

06/21/2026

DOI: 10.1002/aet2.70210

PMID: 42338624

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Title: Subtitle: Where Evidence‐Based Medicine Meets AI: Promise, Pitfalls, and Practice
Creators: Sangil Lee - University of Iowa
Joshua Davis - Vital Strategies
Ken Milne - Stratasys (Israel)
Christina Shenvi - University of North Carolina at Chapel Hill
Lars K. Beattie - University of Florida
Martin Wegman - Park Avenue Dermatology
Laura Melville - NewYork–Presbyterian Brooklyn Methodist Hospital
Richard D. Shih - Florida Atlantic University
Bryan Kane - Thomas Jefferson University
Resource Type: Journal article
Publication Details: AEM education and training, Vol.10(3), e70210
DOI: 10.1002/aet2.70210
PMID: 42338624
NLM abbreviation: AEM Educ Train
ISSN: 2472-5390
eISSN: 2472-5390
Publisher: Wiley
Language: English
Date published: 06/21/2026
Academic Unit: Emergency Medicine; Injury Prevention Research Center
Record Identifier: 9985176653602771

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