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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Oct 10, 2024
Open Peer Review Period: Oct 15, 2024 - Dec 10, 2024
Date Accepted: Nov 13, 2024
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

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

Sorich MJ, Mangoni AA, Bacchi S, Menz BD, Hopkins AM

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

J Med Internet Res 2024;26:e67409

DOI: 10.2196/67409

PMID: 39642373

PMCID: 11662182

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

The triage and diagnostic accuracy of frontier large language models: an updated comparison to physician performance

  • Michael Joseph Sorich; 
  • Arduino Aleksander Mangoni; 
  • Stephen Bacchi; 
  • Bradley Douglas Menz; 
  • Ashley Mark Hopkins

ABSTRACT

Frontier large language models (LLMs) demonstrate triage and diagnostic accuracy comparable to physicians and significantly improve over earlier models and lay individuals, with collaborative LLM approaches enhancing diagnostic performance.


 Citation

Please cite as:

Sorich MJ, Mangoni AA, Bacchi S, Menz BD, Hopkins AM

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

J Med Internet Res 2024;26:e67409

DOI: 10.2196/67409

PMID: 39642373

PMCID: 11662182

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