Artificial Intelligence in Emergency Medicine: A Primer for the Nonexpert

Moira E. Smith; C. Christopher Zalesky; Sangil Lee; Michael Gottlieb; Srikar Adhikari; Mat Goebel; Martin Wegman; Nidhi Garg; Samuel H.F. Lam

doi:10.1016/j.acepjo.2025.100051

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Artificial Intelligence in Emergency Medicine: A Primer for the Nonexpert

Journal article

Open access

Peer reviewed

Artificial Intelligence in Emergency Medicine: A Primer for the Nonexpert

Moira E. Smith, C. Christopher Zalesky, Sangil Lee, Michael Gottlieb, Srikar Adhikari, Mat Goebel, Martin Wegman, Nidhi Garg and Samuel H.F. Lam

Journal of the American College of Emergency Physicians Open, Vol.6(2), 100051

04/2025

DOI: 10.1016/j.acepjo.2025.100051

PMCID: PMC11874537

PMID: 40034198

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https://doi.org/10.1016/j.acepjo.2025.100051View

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Abstract

Artificial intelligence (AI) is increasingly being utilized to augment the practice of emergency medicine due to rapid technological advances and breakthroughs. AI applications have been used to enhance triage systems, predict disease-specific risk, estimate staffing needs, forecast patient decompensation, and interpret imaging findings in the emergency department setting. This article aims to help readers without formal training become informed end-users of AI in emergency medicine. The authors will briefly discuss the principles and key terminology of AI, the reasons for its rising popularity, its potential applications in the emergency department setting, and its limitations. Additionally, resources for further self-studying will also be provided.

Details

Title: Subtitle: Artificial Intelligence in Emergency Medicine: A Primer for the Nonexpert
Creators: Moira E. Smith - University of Virginia
C. Christopher Zalesky - Emory University
Sangil Lee - University of Iowa
Michael Gottlieb - Rush University
Srikar Adhikari - University of Arizona
Mat Goebel
Martin Wegman
Nidhi Garg
Samuel H.F. Lam - Children's Hospital Colorado
Resource Type: Journal article
Publication Details: Journal of the American College of Emergency Physicians Open, Vol.6(2), 100051
DOI: 10.1016/j.acepjo.2025.100051
PMID: 40034198
PMCID: PMC11874537
NLM abbreviation: J Am Coll Emerg Physicians Open
ISSN: 2688-1152
eISSN: 2688-1152
Language: English
Date published: 04/2025
Academic Unit: Emergency Medicine; Injury Prevention Research Center
Record Identifier: 9984792368202771

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