Evaluation of DeepSeek-R1 and ChatGPT-4o on the Chinese national medical licensing examination: a multi-year comparative study
Appendix Tables 1 and 2 show the accuracy of ChatGPT-4o and Deepseek-R1 on NMLE questions. The data is grouped by...
licensing
Evaluation of Large Language Models in Thailand’s National Medical Licensing Examination
AbstractAdvanced general-purpose Large Language Models (LLMs), including OpenAI’s Chat Generative Pre-trained Transformer (ChatGPT), Google’s Gemini and Anthropic’s Claude, have demonstrated...
Evaluating the performance of GPT-3.5, GPT-4, and GPT-4o in the Chinese National Medical Licensing Examination
This study compares the performance of GPT-3.5, GPT-4, and GPT-4o on the 2020 and 2021 Chinese NMLE, focusing on the...
Medical Licensing Exam Scores Sent to Residency Programs After Switch to Pass/Fail
Numerical scores for the Comprehensive Osteopathic Medical Licensing Examination (COMLEX) Level 1 were mistakenly made visible to ob/gyn programs despite...
Nonacademic predictors of China medical licensing examination | BMC Medical Education
Tamblyn R, Abrahamowicz M, Dauphinee WD, Hanley JA, Norcini J, Girard N, et al. Association between licensure examination scores and...
Performance of ChatGPT-3.5 and GPT-4 in national licensing examinations for medicine, pharmacy, dentistry, and nursing: a systematic review and meta-analysis | BMC Medical Education
Study selectionThe literature search yielded 433 articles after the initial search. After removing duplicates and performing title/abstract screening, a total...
