专家对ChatGPT生成疾病脚本的能力的评估:一个评估性研究
Yasutaka Yanagita1, Daiki Yokokawa2, Fumitoshi Fukuzawa2
1Department of General Medicine, Chiba University Hospital, 1-8-1, Inohana, Chuo-Ku, Chiba, Chiba Pref, Japan. y.yanagita@gmail.com.
BMC medical education
|May 15, 2024
概括
生成型人工智能 (AI) 可以为医学教育创建有用的疾病脚本. 聊天GPT-4为184种疾病生成了疾病脚本,其中超过84%被认为是可接受的,用于培训医学学生.
科学领域:
- 医疗教育 技术 技术 医学教育
- 临床知识表示 临床知识表示
- 医疗保健中的人工智能
背景情况:
- 疾病脚本是以患者为中心的临床知识工具,详细介绍疾病,病理生理学和后果.
- 生成型人工智能有潜力作为医学培训和提高诊断准确性的教育辅助工具.
- 没有对人工智能产生的疾病脚本的系统审查,因为它们通常是特定于医生的.
研究的目的:
- 研究生成性人工智能 (AI) 在生成疾病脚本方面的能力.
- 为医学教育评估人工智能产生的疾病脚本的质量和实用性.
主要方法:
- 利用生成性AI模型ChatGPT-4,为184种疾病创建疾病脚本.
- 这些疾病是根据日本本科和初级保健专家课程 (2022年版) 选择的.
- 三名医生使用三级分级表 (A,B,C) 评估了生成的疾病脚本,以确定医学学生培训的充分性.
主要成果:
- 聊天GPT-4成功生成了184个疾病脚本的所有组件,没有遗漏.
- 56.0% (103/184) 的生成疾病脚本获得了"A"评级 (足以接受培训).
- 另有28.3% (52/184) 获得"B"评级 (部分缺乏但可以接受).
结论:
- 生成型人工智能,特别是ChatGPT-4,可以有效地生成有用的疾病脚本.
- 使用适当提示生成的疾病脚本是介绍医学学生疾病特征的宝贵工具.
- 人工智能驱动的疾病脚本为医学教育提供了可扩展和可访问的方法,并可能提高诊断技能.
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