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

Reviews in Medical Informatics (104) Digital Health Reviews (1636) AI Language Models in Health Care (154) Generative Language Models Including ChatGPT (613) Foundation Models and Their Applications in AI (46) Clinical Information and Decision Making (1785)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64963, first published .
Comparing Diagnostic Accuracy of Clinical Professionals and Large Language Models: Systematic Review and Meta-Analysis

Comparing Diagnostic Accuracy of Clinical Professionals and Large Language Models: Systematic Review and Meta-Analysis

Comparing Diagnostic Accuracy of Clinical Professionals and Large Language Models: Systematic Review and Meta-Analysis

Authors of this article:

Guxue Shan1 Author Orcid Image ;   Xiaonan Chen1 Author Orcid Image ;   Chen Wang1 Author Orcid Image ;   Li Liu2 Author Orcid Image ;   Yuanjing Gu3 Author Orcid Image ;   Huiping Jiang4 Author Orcid Image ;   Tingqi Shi5 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics Author Video

Journals

  1. Hao W, Chen C, Chen K, Li L, Chiu C, Yang T, Jong H, Yang H, Huang C, Liu J, Li Y. ChatGPT Performance Deteriorated in Patients with Comorbidities When Providing Cardiological Therapeutic Consultations. Healthcare 2025;13(13):1598 View
  2. Urda-Cîmpean A, Leucuța D, Drugan C, Duțu A, Călinici T, Drugan T. Assessing the Accuracy of Diagnostic Capabilities of Large Language Models. Diagnostics 2025;15(13):1657 View