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

Generative Language Models Including ChatGPT (311) Natural Language Processing (692) Clinical Communication, Electronic Consultation and Telehealth (590) Chatbots and Conversational Agents (531) E-Health / Health Services Research and New Models of Care (517) Artificial Intelligence (1371) Decision Support for Health Professionals (1185)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53297, first published .
Triage Performance Across Large Language Models, ChatGPT, and Untrained Doctors in Emergency Medicine: Comparative Study

Triage Performance Across Large Language Models, ChatGPT, and Untrained Doctors in Emergency Medicine: Comparative Study

Triage Performance Across Large Language Models, ChatGPT, and Untrained Doctors in Emergency Medicine: Comparative Study

Authors of this article:

Lars Masanneck1, 2 Author Orcid Image ;   Linea Schmidt2 Author Orcid Image ;   Antonia Seifert3 Author Orcid Image ;   Tristan Kölsche1 Author Orcid Image ;   Niklas Huntemann1 Author Orcid Image ;   Robin Jansen1 Author Orcid Image ;   Mohammed Mehsin1 Author Orcid Image ;   Michael Bernhard3 Author Orcid Image ;   Sven G Meuth1 Author Orcid Image ;   Lennert Böhm3 Author Orcid Image ;   Marc Pawlitzki1 Author Orcid Image
Article Authors Cited by (3) Tweetations (6) Metrics

Journals

  1. Armbruster J, Bussmann F, Rothhaas C, Titze N, Grützner P, Freischmidt H. “Doctor ChatGPT, Can You Help Me?” The Patient’s Perspective: Cross-Sectional Study. Journal of Medical Internet Research 2024;26:e58831 View
  2. Le K, Chen J, Mai D, Le K. An Evaluation on the Potential of Large Language Models for Use in Trauma Triage. Emergency Care and Medicine 2024;1(4):350 View
  3. Sorich M, Mangoni A, Bacchi S, Menz B, Hopkins A. The triage and diagnostic accuracy of frontier large language models: an updated comparison to physician performance (Preprint). Journal of Medical Internet Research 2024 View