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

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: Updated Comparison to Physician Performance. Journal of Medical Internet Research 2024;26:e67409 View
  4. Geneş M, Deveci B. A Clinical Evaluation of Cardiovascular Emergencies: A Comparison of Responses from ChatGPT, Emergency Physicians, and Cardiologists. Diagnostics 2024;14(23):2731 View
  5. Miralles Linares F, Martín Quirós A, Jaén Cañadas M. Triaje en urgencias basado en inteligencia artificial: una herramienta prometedora. Medicina Clínica 2024 View
  6. Zhang P, Shi J, Kamel Boulos M. Generative AI in Medicine and Healthcare: Moving Beyond the ‘Peak of Inflated Expectations’. Future Internet 2024;16(12):462 View