人工智能生成与基于证据的关于医疗专业人员心房管理的教育内容的比较可读性分析
Thejas Swaroop Konduru1, Sharada Medapuram Belagu2, Areefa Momtaz3
1Acute Internal Medicine, Midland Metropolitan University Hospital, Sandwell and West Birmingham NHS Trust, West Midlands, GBR.
Cureus
|October 10, 2025
概括
聊天GPT提供简洁的医疗摘要,可比于UpToDate的可读性,但使用更复杂的词汇. 这种人工智能工具对临床教育有前途,但在集成之前需要专家验证.
科学领域:
- 医学教育 医学教育
- 医疗保健中的人工智能
- 临床决策支持 临床决策支持
背景情况:
- 心房动 (AF) 是一种常见的心律失常症,对医疗保健有重大影响.
- 有效的AF临床决策需要可访问,最新的教育内容.
- 像UpToDate这样的现有资源对忙碌的临床医生来说可能是耗时的.
研究的目的:
- 将ChatGPT-3.5生成的教育内容的可读性和特征与UpToDate进行比较.
- 评估人工智能生成的医学摘要对职业教育的适用性.
主要方法:
- 一项横截面研究,比较了ChatGPT-3.5和UpToDate在AF上的内容.
- 使用Flesch-Kincaid,SMOG,单词数,句子长度和难度单词百分比来评估可读性.
- 使用曼-惠特尼U测试进行的统计分析.
主要成果:
- 聊天GPT的内容显著更短 (中位数为495与3381个单词),短句 (14.3与19.3个单词).
- 聊天GPT的内容显示出较高的难用词的百分比 (29.6%对23.3%).
- 其他可读性指标没有显示出统计学上显著的差异.
结论:
- 聊天GPT提供简洁的教育内容,可比UpToDate的可读性.
- 人工智能生成的内容可能包含更高比例的复杂词汇.
- 聊天GPT显示作为一个补充教育资源的潜力,等待专家审查和验证.
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