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利用人工智能在创建关于喉科主题的患者信息方面
Quynh-Lam Tran1,2, Pauline P Huynh1, Bryan Le1
1Department of Head and Neck Surgery, Kaiser Permanente, Oakland Medical Center, Oakland, California, U.S.A.
The Laryngoscope
|November 6, 2024
概括
来自AAO-HNS的患者信息比ChatGPT生成的内容更容易阅读. 这两个来源都提供了关于喉科主题的可比质量的信息.
科学领域:
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 患者教育材料对于明智的医疗保健决策至关重要.
- 像ChatGPT这样的AI工具的出现需要评估它们是否适合生成医疗信息.
- 评估人工智能产生的健康内容的可读性和质量对于患者的理解和安全至关重要.
研究的目的:
- 为了比较通过ChatGPT-3.5和美国耳鼻喉科-头手术学会 (AAO-HNS) 产生的喉科主题患者信息的可读性和质量.
- 使用已验证的工具,如Flesch-Kincaid等级水平 (FKGL),Flesch阅读方便,DISCERN和PEMAT-P进行全面评估.
主要方法:
- 使用ENTHealth.org (AAO-HNS) 和ChatGPT-3.5.5.使用喉科主题生成患者信息.
- 查询每个主题的ChatGPT-3.5两次以评估可靠性,结果每个主题有三个文档 (AAO-HNS,ChatGPT输出1,ChatGPT输出2).
- 通过使用统计测试 (ANOVA,Tukey's,t-test) 分析可读性 (FKGL,Flesch阅读方便) 和质量 (DISCERN,PEMAT-P).
主要成果:
- 聊天GPT生成的内容至少比AAO-HNS材料高两次阅读等级 (p < 0.001).
- 与AAO-HNS相比,ChatGPT输出的阅读易度得分明显较低 (p < 0.001).
- 来自ChatGPT的声带麻信息显示,与AAO-HNS相比,PEMAT-P的可理解性较低 (p > 0.05).
结论:
- 与ChatGPT生成的内容相比,AAO-HNS患者在选择的喉科主题上的信息显示出更高的可读性 (较低级别,更容易阅读).
- 尽管可读性存在差异,但这两种来源提供的信息的整体质量在很大程度上是可比的.
- 研究结果表明,在没有专家审查的情况下使用人工智能用于患者教育材料时,应谨慎使用.
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