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

Generative Language Models Including ChatGPT (311) Clinical Information and Decision Making (30) New Methods (944) Disaster Medicine and Mass Casualty Management (22) AI Language Models in Health Care (58) Artificial Intelligence (1371) Clinical Informatics (1022) Clinical Information and Decision Making (1407)

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 Tweetations (2) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually