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

Generative Language Models Including ChatGPT (447) New Methods (1012) Disaster Medicine and Mass Casualty Management (27) AI Language Models in Health Care (91) Artificial Intelligence (1638) Clinical Informatics (1121) Clinical Information and Decision Making (1581)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55648, first published .
Accuracy of a Commercial Large Language Model (ChatGPT) to Perform Disaster Triage of Simulated Patients Using the Simple Triage and Rapid Treatment (START) Protocol: Gage Repeatability and Reproducibility Study

Accuracy of a Commercial Large Language Model (ChatGPT) to Perform Disaster Triage of Simulated Patients Using the Simple Triage and Rapid Treatment (START) Protocol: Gage Repeatability and Reproducibility Study

Accuracy of a Commercial Large Language Model (ChatGPT) to Perform Disaster Triage of Simulated Patients Using the Simple Triage and Rapid Treatment (START) Protocol: Gage Repeatability and Reproducibility Study

Authors of this article:

Jeffrey Micheal Franc1, 2 Author Orcid Image ;   Attila Julius Hertelendy3, 4 Author Orcid Image ;   Lenard Cheng5 Author Orcid Image ;   Ryan Hata6 Author Orcid Image ;   Manuela Verde2 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Miller E, Franc J, Hertelendy A, Issa F, Hart A, Woodward C, Newbury B, Newbury K, Mathew D, Whitten-Chung K, Bauer E, Voskanyan A, Ciottone G. Accuracy of Commercial Large Language Model (ChatGPT) to Predict the Diagnosis for Prehospital Patients Suitable for Ambulance Transport Decisions: Diagnostic Accuracy Study. Prehospital Emergency Care 2025:1 View