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September 20, 2025JMIR Medical EducationOpen Access

Evaluating the Potential and Accuracy of ChatGPT-3.5 and 4.0 in Medical Licensing and In-Training Examinations: Systematic Review and Meta-Analysis

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Authors

AJAnila JaleelShalamar HospitalUAUmair AzizShalamar HospitalGFGhulam FaridShalamar Hospital

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Overview

Systematic review compares accuracy of ChatGPT models in medical licensing and residency exams, suggesting usage benefits.

Key Points

  • ChatGPT-4 achieved a pooled accuracy of 81.8% in medical licensing exams, outperforming ChatGPT-3.5's 60.8%.
  • The analysis included 53 studies focusing on ChatGPT’s performance in medical licensing and residency examinations.
  • ChatGPT-4 showed a risk ratio of 1.36, indicating it was 36% more likely to answer correctly than ChatGPT-3.5.
  • Results indicate that while ChatGPT-4 improves accuracy, it still requires enhancements for effective clinical application.

Cite This Study

Jaleel et al. (2025) studied this question.

synapsesocial.com/papers/68d46fcd31b076d99fa69f69https://doi.org/10.2196/68070
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Evaluating the Potential and Accuracy of ChatGPT-3.5 and 4.0 in Medical Licensing and In-Training Examinations: Systematic Review and Meta-Analysis (Preprint)2024
  2. 2Evaluating ChatGPT-4 in medical education: an assessment of subject exam performance reveals limitations in clinical curriculum support for students2024 · 10 citations
  3. 3A multi-model longitudinal assessment of ChatGPT performance on medical residency examinations2025
  4. 4Comparison of the Performance of GPT-3.5 and GPT-4 With That of Medical Students on the Written German Medical Licensing Examination: Observational Study2024 · 108 citations
  5. 5From GPT-3.5 to GPT-4.o: A Leap in AI’s Medical Exam Performance2024 · 28 citations