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Large language models can pass medical licensing exams.

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SUPPORTED
the evidence backs this
Recorded sources
9 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that large language models can pass medical licensing exams?

Yes. A systematic review and network meta-analysis pooling 120 evaluations across 10 medical licensing exam systems found that 13 of 16 models exceeded the 60% passing threshold, with top models scoring above 89%. Individual studies on Israeli, Chinese, Thai and US exams likewise report several models passing, though results vary by model and exam.

Verdict: SUPPORTED · 9 sources for, 0 against · Last checked

The private library was unavailable for some searches in this check. Missing library results are not evidence against the claim.

Evidence for · 9
2025
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Omar, M., Hijazi, K., Omar, M., Nadkarni, G. N., & Klang, E. (2025). Performance of large language models on family medicine licensing exams. doi.org. https://doi.org/10.1093/fampra/cmaf035

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More for · 8
2026
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Lian, L., Luo, X., Chipusu, K., Ashraf, M. A., Wong, K. K. L., & Zhang, W. (2026). Large Language Models Evaluation of Medical Licensing Examination Using GPT-4.0, ERNIE Bot 4.0, and GPT-4o. doi.org. https://doi.org/10.3390/bioengineering13010113

2024
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Saowaprut, P., Wabina, R. S. R., Yang, J., & Siriwat, L. (2024). Evaluation of Large Language Models in Thailand’s National Medical Licensing Examination. doi.org. https://doi.org/10.1101/2024.12.20.24319441

2026
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H, Z., J, C., J, W., Y, S., Y, Z., M, S., & B, S. (2026). A Dataset for Evaluating Large Language Models on Chinese National Medical Licensing Examinations.. doi.org. https://doi.org/10.1038/s41597-026-07261-9

2022
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Gilson, A., Safranek, C., Huang, T., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2022). How Does ChatGPT Perform on the Medical Licensing Exams? The Implications of Large Language Models for Medical Education and Knowledge Assessment. doi.org. https://doi.org/10.1101/2022.12.23.22283901

2026
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Zong, H., Wang, J., Cha, J., Wu, R., Hu, S., & Zhao, Y. (2026). Performance of large language models in the Chinese National Medical Licensing Examinations and Beyond: Scoping review. doi.org. https://doi.org/10.1371/journal.pdig.0001773

2025
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A, K., A, S., G, C., JM, A., MM, W., N, S., MY, H., KT, H., & E, K. (2025). Performance of ChatGPT and Large Language Models on Medical Licensing Exams Worldwide: A Systematic Review and Network Meta-Analysis With Meta-Regression.. doi.org. https://doi.org/10.7759/cureus.94300

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Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models. (n.d.). cir.nii.ac.jp. https://doi.org/10.1101/2022.12.19.22283643

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Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks. (n.d.). cir.nii.ac.jp. https://doi.org/10.48550/arxiv.2404.00376

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