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

Reviews in Medical Informatics (120) Digital Health Reviews (1806) AI Language Models in Health Care (237) Generative Language Models Including ChatGPT (789) Foundation Models and Their Applications in AI (55) Clinical Information and Decision Making (2048)

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 (14) 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
  3. Chen Y, Dong M, Sun J, Meng Z, Yang Y, Muhetaier A, Li C, Qin J. Leveraging GPT-4o for Automated Extraction and Categorization of CAD-RADS Features From Free-Text Coronary CT Angiography Reports: Diagnostic Study. JMIR Medical Informatics 2025;13:e70967 View
  4. Liu Y, Zhang Y. ChatGPT as a clinical support tool: A comprehensive review of applications, assessment, and implementation challenges. Physiotherapy Practice and Research 2026;47(1):160 View
  5. Young V, Gates S, Garcia L, Salardini A. Data Leakage in Deep Learning for Alzheimer’s Disease Diagnosis: A Scoping Review of Methodological Rigor and Performance Inflation. Diagnostics 2025;15(18):2348 View
  6. Cilli Hayıroğlu S, Bozkurt T. ChatGPT, Gemini, and Grok on familial mediterranean fever: are they trustworthy?. Clinical Rheumatology 2026;45(1):521 View
  7. Brooks J, Blankson P, Campbell P, Cowley R, Yang T, Oseni T, Rodriguez A, Idris M. Assessment of Physician Preferences for Large Language Model–Generated Responses Across Geographic Regions and Clinical Experience Levels: Preliminary Survey Study. JMIR Formative Research 2026;10:e82487 View
  8. Sowan B, Zhang L, Houssein E, Qattous H, Azzeh M, Massad B. DOVE-FELM: A fusion-optimized feature selection and heterogeneous ensemble learning framework for early prediction of chronic kidney disease risk. Array 2025;28:100613 View
  9. Umar M, Ali V, Shamim L, Musharaf I, Hafsa R, Ahsan M, Ahmad O, Sabhan L, Saeed M, Ahmed S, Iftikhar S, Ain N. Transforming healthcare with large language models: Current applications, challenges, and future directions—a literature review. Journal of Intelligent Medicine 2025 View
  10. Patel A, Contractor H, Heninger H, Vallamchetla S, Li P, Tao C, Cheung J. Performance of successive generative pretrained transformers (GPT) models in medical cases and board style questions. Scientific Reports 2026;16(1) View
  11. Kahyaoglu S, Kaygisiz A, Alatli I, Boyaci A, Aray E, Tulgar S, Balci D. Large Language Model-Assisted Point-in-Time Interpretation of Advanced Hemodynamics in Liver Transplant Recipients: A Pilot Evaluation of Content Quality and Safety. Journal of Clinical Medicine 2026;15(2):716 View
  12. Nedos I, Zagalioti S, Kofos C, Katsikidou T, Vellidou D, Astrinakis K, Karagiannis I, Giannakopoulos P, Michaloudi S, Apostolopoulou A, Karagiannidis E, Fyntanidou B. Is Artificial Intelligence Ready for Emergency Department Triage? A Retrospective Evaluation of Multiple Large Language Models in 39,375 Patients at a University Emergency Department. Journal of Clinical Medicine 2026;15(4):1512 View
  13. Cai H, Wang C, Zhang Y, Ding H, Hong W, Zhao Y, Cheng S, Wang Y. Decoding AI Competence: Benchmarking Large Language Models (LLMs) in Ovarian Cancer Diagnosis and Treatment—A Systematic Evaluation of Generative AI Accuracy and Completeness. Diagnostics 2026;16(4):616 View
  14. Ekingen E, Ucdal M. Performance Comparison of a Neuro-Symbolic Large Language Model System Versus Human Experts in Acute Cholecystitis Management. Journal of Clinical Medicine 2026;15(5):1730 View