OBJECTIVE: This study investigated whether generative AI can generate illness scripts.
METHODS: We utilized ChatGPT-4, a generative AI, to create illness scripts for 184 diseases based on the diseases and conditions integral to the National Model Core Curriculum in Japan for undergraduate medical education (2022 revised edition) and primary care specialist training in Japan. Three physicians applied a three-tier grading scale: \"A\" denotes that the content of each disease\'s illness script proves sufficient for training medical students, \"B\" denotes that it is partially lacking but acceptable, and \"C\" denotes that it is deficient in multiple respects.
RESULTS: By leveraging ChatGPT-4, we successfully generated each component of the illness script for 184 diseases without any omission. The illness scripts received \"A,\" \"B,\" and \"C\" ratings of 56.0% (103/184), 28.3% (52/184), and 15.8% (29/184), respectively.
CONCLUSIONS: Useful illness scripts were seamlessly and instantaneously created using ChatGPT-4 by employing prompts appropriate for medical students. The technology-driven illness script is a valuable tool for introducing medical students to key features of diseases.
目的:这项研究调查了生成AI是否可以产生疾病脚本。
方法:我们使用了ChatGPT-4,一种生成AI,根据日本国家示范核心课程(2022年修订版)和日本初级保健专家培训中不可或缺的疾病和条件,为184种疾病创建疾病脚本。三位医生采用了三层分级量表:“A”表示每种疾病的疾病脚本的内容足以培训医学生,\“B\”表示部分缺乏但可以接受,和“C”表示它在多个方面都有缺陷。
结果:通过利用ChatGPT-4,我们成功地生成了184种疾病的疾病脚本的每个组成部分,没有任何遗漏。疾病脚本收到\“A,\"\"B,“和”C“评级为56.0%(103/184),28.3%(52/184),和15.8%(29/184),分别。
结论:通过采用适合医学生的提示,使用ChatGPT-4无缝和即时地创建有用的疾病脚本。技术驱动的疾病脚本是向医学生介绍疾病关键特征的宝贵工具。