Use of ChatGPT on Taiwan’s Examination for Medical Doctors

Yung Shuo Kao, Wei Kai Chuang, Jen Yang

研究成果: 雜誌貢獻快報同行評審

15 引文 斯高帕斯(Scopus)

摘要

The study evaluates the performance of OpenAI’s GPT-3 model on answering medical exam questions from Staged Senior Professional and Technical Examinations Regulations for Medical Doctors in the field of internal medicine. The study used the official API to connect the questionnaire with the ChatGPT model, and the results showed that the AI model performed reasonably well, with the highest score of 8/13 in chest medicine. However, the overall performance of the AI model was limited, with only chest medicine scoring more than 60. ChatGPT scored relatively high in Chest medicine, Gastroenterology, and general medicine. One of the limitations of the study is the use of non-English text, which may affect the model’s performance as the model is primarily trained on English text.
原文英語
頁(從 - 到)455-457
頁數3
期刊Annals of Biomedical Engineering
52
發行號3
DOIs
出版狀態已發佈 - 3月 2024

ASJC Scopus subject areas

  • 生物醫學工程

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