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ABSTRACT: Background
The competence of ChatGPT (Chat Generative Pre-Trained Transformer) in non-English languages is not well studied.Objective
This study compared the performances of GPT-3.5 (Generative Pre-trained Transformer) and GPT-4 on the Japanese Medical Licensing Examination (JMLE) to evaluate the reliability of these models for clinical reasoning and medical knowledge in non-English languages.Methods
This study used the default mode of ChatGPT, which is based on GPT-3.5; the GPT-4 model of ChatGPT Plus; and the 117th JMLE in 2023. A total of 254 questions were included in the final analysis, which were categorized into 3 types, namely general, clinical, and clinical sentence questions.Results
The results indicated that GPT-4 outperformed GPT-3.5 in terms of
SUBMITTER: Takagi S
PROVIDER: S-EPMC10365615 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature