儿童耳鼻喉科人工智能:评估术后指令的可读性,可理解性和可执行性
Alya AlZabin1, Hisham AlMutawa2, Lulwah AlTurki3
1College of Medicine, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
American journal of otolaryngology
|February 13, 2026
概括
人工智能 (AI) 平台在生成儿科手术指令方面表现不同. 虽然ChatGPT在可读性方面表现出色,Gemini在可理解性方面领先,DeepSeek在可操作性方面领先,但没有一个完全符合患者教育标准,需要改进人工智能培训.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者教育 患者教育
背景情况:
- 人工智能 (AI) 在医疗保健沟通中的应用正在扩大,但其在为儿科手术创建面向患者的材料方面的有效性仍未得到审查.
- 本研究评估了人工智能为儿科耳鼻喉科 (ORL) 手术生成的术后指令的可读性,可理解性和可操作性.
研究的目的:
- 为了比较通过ChatGPT,Gemini和DeepSeek产生的儿科耳鼻关手术面向患者的术后指令的质量.
- 用既定指标评估人工智能生成材料的可读性,可理解性和可操作性.
主要方法:
- 标准化提示被用于生成来自三个人工智能平台的术后指令:ChatGPT,Gemini和DeepSeek.
- 使用弗莱什-金凯德阅读易度 (FKRE) 和等级水平 (FKGL) 测量可读性.
- 使用可打印材料的患者教育材料评估工具 (PEMAT-P) 评估了可理解性和可操作性,随后进行了统计分析.
主要成果:
- 聊天GPT表现出卓越的可读性 (FKRE 64.57,FKGL 7.40),而双子座在可理解性方面领先 (83.20%) 和DeepSeek在可操作性方面 (71.10%).
- 没有AI平台同时达到所有充足度值 (FKGL <6,FKRE >60,PEMAT-P >80%).
- 在FKRE和FKGL (r=-0.711) 和FKRE和可理解性 (r=-0.669) 之间发现了显著的反向相关性.
结论:
- 当前的人工智能平台具有明显的优势,但并不总是为儿科ORL手术提供最佳的患者教育材料.
- 使用儿科和护理人员特定数据进行增强的AI培训对于提高儿科护理中术后指导的质量至关重要.
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