Abstract
This systematic review aimed to assess the academic potential of ChatGPT (GPT-3.5, 4, and 4V) for Japanese national medical and healthcare licensing examinations, taking into account its strengths and limitations. Electronic databases such as PubMed/Medline, Google Scholar, and ICHUSHI (a Japanese medical article database) were systematically searched for relevant articles, particularly those published between January 1, 2022, and April 30, 2024. A formal narrative analysis was conducted by systematically arranging similarities and differences between individual research findings together. After rigorous screening, we reviewed 22 articles. Except for one article, all articles that evaluated GPT-4 showed that this tool could pass each exam containing text only. However, some studies also reported that, despite the possibility to pass, the results of GPT-4 were worse than those of the actual examinee. Moreover, the newest model GPT-4V insufficiently recognized images, thereby providing insufficient answers to questions that involved images and figures/tables. Therefore, their precision needs to be improved to obtain better results.
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