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探索ChatGPT在裂唇修复教育中的实用性
Monali Mahedia1, Rachel N Rohrich2, Kaiser O'Sahil Sadiq3
1Department of Surgery, Rutgers University-NJMS, Newark, NJ 07103, USA.
Journal of clinical medicine
|February 13, 2025
概括
像ChatGPT这样的大型语言模型可以为裂唇修复提供准确的健康信息,但可信度和人类监督仍然是患者教育的关键问题. 需要进一步的研究,以确保AI在医疗保健中的可靠性.
科学领域:
- 医疗保健中的人工智能
- 医疗信息传播 医疗信息传播
- 患者教育 技术 技术
背景情况:
- 像ChatGPT这样的大型语言模型 (LLM) 提供了在线分享健康信息的新方式.
- 由于LLM输出的无监督性,因此需要对医疗保健应用进行质量和准确性评估.
- 这项研究专门研究了ChatGPT对裂唇修复的反应.
研究的目的:
- 评估关于裂唇修复的ChatGPT产生的反应的质量,清晰度,相关性和可信度.
- 评估人工智能为患者生成的健康信息的可读性.
- 确定LLM作为管理裂唇护理的补充工具的可靠性.
主要方法:
- 十个常见的裂口修复问题来自美国整形外科医生协会.
- 聊天GPT提示被用于生成响应,然后由五位经过董事会认证的整形外科医生进行评级.
- 使用弗莱什阅读易度得分 (FRES) 和弗莱什-金凯德等级水平 (FKGL) 评估可读性.
主要成果:
- 聊天GPT的回复获得了2.9/4的平均评分,清晰度和内容质量得分最高 (3.1/4).
- 可信度获得最低分 (2.7/4),回答缺乏引用.
- 可读性表明10年级的识字水平 (FRES 44.35,FKGL 10.87),没有严重不准确的信息.
结论:
- 聊天GPT显示潜力作为一个补充工具,患者教育在裂唇修复,提供一般准确和可理解的信息.
- 虽然人工智能提供了价值,但缺乏人类监督凸显了用户意识到其局限性的必要性.
- 在临床患者教育中广泛采用之前,进一步验证至关重要.
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