Journal article
Artificial Intelligence in Emergency Medicine: A Primer for the Nonexpert
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
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 VirginiaC. Christopher Zalesky - Emory UniversitySangil Lee - University of IowaMichael Gottlieb - Rush UniversitySrikar Adhikari - University of ArizonaMat GoebelMartin WegmanNidhi GargSamuel 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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