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

Artificial Intelligence (1437) Decision Support for Health Professionals (1220) Clinical Information and Decision Making (1447) Machine Learning (1513) Generative Language Models Including ChatGPT (334) Computer-Aided Diagnosis (139)

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 Tweetations Metrics

Michael Joseph Sorich   1 , BPharm, GradDipMedStat, PhD ;   Arduino Aleksander Mangoni   1, 2 , MD, PhD ;   Stephen Bacchi   3 , MBBS, PhD ;   Bradley Douglas Menz   1 , BPharm ;   Ashley Mark Hopkins   1 , BPharm, PhD

1 College of Medicine and Public Health, Flinders University, Adelaide, Australia

2 Department of Clinical Pharmacology, Southern Adelaide Local Health Network, Adelaide, Australia

3 Department of Neurology and the Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States

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