Cited by 9Artificial Intelligence in Healthcare and EducationTechnology and Human Factors in Education and HealthArtificial Intelligence Applications

FDA-reviewed artificial intelligence-enabled products applicable to emergency medicine

Morey, Jacob, Schupbach, John, Jones, Derick, Walker, Laura, Lindor, Rachel, Loufek, Brenna, Mullan, Aidan, Cabrera, Daniel·2025·The American Journal of Emergency Medicine

Abstract

Objective To identify and assess artificial intelligence (AI)-enabled products reviewed by the U.S. Food and Drug Administration (FDA) that are potentially applicable to emergency medicine (EM). Methods The FDA AI-enabled products website was accessed to identify all marketed products as of March 2024. Board-certified EM physicians analyzed all products for applicability to EM practice. Inclusion criteria included products used by EM physicians directly or non-EM physicians participating directly in the evaluation and management of patients in an acute care setting. The Clinical and Economic Review (ICER) Evidence Rating Matrix was used to rate the net health benefit of applicable products. Results A total of 882 AI-enabled products have been reviewed by the FDA from 1995 to 2024. There were 272 products that were updates of prior products that were excluded, leaving 610 unique products. Products were most commonly evaluated by Radiology (454/610), Cardiovascular (59/610), and Neurology (25/610) panels. We found 154 (25 %) products applicable to EM that were approved through Radiology (121/154), Cardiovascular (24/154), Neurology (5/154), Anesthesiology (3/154), and Ophthalmology (1/154) panels. There were 30 products that were rated as having a comparable or incremental net health benefit with moderate certainty (a C+ rating). Conclusion An increasing number of AI-enabled products are available and regulated by the FDA. We have identified 154 that are applicable to EM, primarily related to assisting with diagnosis on various imaging modalities. There remain many opportunities for EM to assist in product reviews and meaningful translation of products into clinical practice.

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Crossref · 10.1016/j.ajem.2024.12.062

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  • Recent work has provided insights into subsets of devices, but a comprehensive characterization of FDA-authorized AI-enabled devices is currently lacking.

    “Recent work has provided insights into subsets of devices6–11, but a comprehensive characterization of FDA-authorized AI-enabled devices is currently lacking.”

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Authors
Morey, J., Schupbach, J., Jones, D., Walker, L., Lindor, R., Loufek, B., Mullan, A., & Cabrera, D.
Affiliations
Mayo Clinic (US)
Corresponding author
Morey, Jacob
Venue
The American Journal of Emergency Medicine
Publisher
Elsevier BV
Published
2025-03
Volume
89
Pages
241-246
ISSN
0735-6757 (ISSN-L)
OpenAlex
W4405775009
Cited by
9
References
2
Citations by year
2026: 3 · 2025: 6
FWCI
0.84
Type
journal article
Language
en
Open access
closed
Locations
  • The American Journal of Emergency Medicine (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Keywords
artificial intelligence, emergency medicine, AI-enabled medical devices, artificial intelligence in radiology, net health benefit, clinical translation of AI
MeSH terms
Artificial Intelligence, Emergency Medicine, Humans, United States, United States Food and Drug Administration

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