This paper is in the following e-collection/theme issue:

AI Language Models in Health Care (61) Generative Language Models Including ChatGPT (325) Digital Health Reviews (1326) Clinical Informatics (1050) Clinical Information and Decision Making (1434) Artificial Intelligence (1421) Decision Support for Health Professionals (1210) Design of Processes and Workflows (108) Chatbots and Conversational Agents (543)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53787, first published .
The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review

The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review

The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review

Authors of this article:

Carl Preiksaitis1 Author Orcid Image ;   Nicholas Ashenburg1 Author Orcid Image ;   Gabrielle Bunney1 Author Orcid Image ;   Andrew Chu1 Author Orcid Image ;   Rana Kabeer1 Author Orcid Image ;   Fran Riley1 Author Orcid Image ;   Ryan Ribeira1 Author Orcid Image ;   Christian Rose1 Author Orcid Image
Article Authors Cited by (13) Tweetations (3) Metrics

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  3. Hwai H, Ho Y, Wang C, Huang C. Large language model application in emergency medicine and critical care. Journal of the Formosan Medical Association 2024 View
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  5. Brin D, Sorin V, Konen E, Nadkarni G, Glicksberg B, Klang E. How GPT models perform on the United States medical licensing examination: a systematic review. Discover Applied Sciences 2024;6(10) View
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