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

Artificial Intelligence (1767) Decision Support for Health Professionals (1354) Clinical Information and Decision Making (1679) Machine Learning (1760) Generative Language Models Including ChatGPT (513) Computer-Aided Diagnosis (188)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67409, first published .
The Triage and Diagnostic Accuracy of Frontier Large Language Models: Updated Comparison to Physician Performance

The Triage and Diagnostic Accuracy of Frontier Large Language Models: Updated Comparison to Physician Performance

The Triage and Diagnostic Accuracy of Frontier Large Language Models: Updated Comparison to Physician Performance

Authors of this article:

Michael Joseph Sorich1 Author Orcid Image ;   Arduino Aleksander Mangoni1, 2 Author Orcid Image ;   Stephen Bacchi3 Author Orcid Image ;   Bradley Douglas Menz1 Author Orcid Image ;   Ashley Mark Hopkins1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Menz B, Modi N, Abuhelwa A, Ruanglertboon W, Vitry A, Gao Y, Li L, Chhetri R, Chu B, Bacchi S, Kichenadasse G, Shahnam A, Rowland A, Sorich M, Hopkins A. Generative AI chatbots for reliable cancer information: Evaluating web-search, multilingual, and reference capabilities of emerging large language models. European Journal of Cancer 2025;218:115274 View
  2. Gao C, Satheakeerthy S, Guo C, Pradhan A, Booth A, Chan W, Kanjilal S, Roberts M, Kotton C, Bacchi S. Large language models for infectious diseases require evidence generation and regulation. Internal Medicine Journal 2025 View