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Artificial Intelligence in Emergency Medicine: A Primer for the Nonexpert
8
Zitationen
9
Autoren
2025
Jahr
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.
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Autoren
Institutionen
- University of Virginia(US)
- Emory University(US)
- University of Iowa(US)
- Rush University Medical Center(US)
- University of Arizona(US)
- Trinity Health(US)
- Mercy Medical Center(US)
- Ark Medical Center(US)
- Park Avenue Dermatology(US)
- Donald & Barbara Zucker School of Medicine at Hofstra/Northwell(US)
- Children's Hospital Colorado(US)
- University of Colorado Denver(US)