评估人工智能生成的信息在整形和美容手术中的质量,可读性和可接受性
Muireann Keating1, Stephanie M Bollard2,1, Shirley Potter3,2
1Department of Plastic and Reconstructive Surgery, St James's Hospital, Dublin, IRL.
Cureus
|December 19, 2024
概括
像ChatGPT-4这样的人工智能 (AI) 聊天机器人提供了关于整形外科主题的低质量信息,尽管对临床医生来说看起来清晰准确. 在人工智能成为患者健康信息的可靠来源之前,需要进一步开发.
科学领域:
- 整形和重建手术 整形和重建手术
- 医疗保健中的人工智能
- 医疗信息质量 医疗信息质量
背景情况:
- 患者经常使用互联网获得初始的整形外科信息.
- 人工智能 (AI) 聊天机器人,如ChatGPT (生成预训练变压器),为健康问题提供可访问,即时的答案.
- 评估人工智能生成的医疗信息的可靠性至关重要.
研究的目的:
- 评估ChatGPT-4提供的关于流行塑性和重建性手术主题信息的质量和可读性.
- 将人工智能产生的内容质量与已有的评估工具和专家临床意见进行比较.
主要方法:
- 确定了15年来全球前10名整形手术搜索主题.
- 制定了九个问题,并将它们输入到ChatGPT-4.
- 使用DISCERN,弗莱什-金凯德阅读易度 (FKRE) 和科尔曼-利乌 (CL) 指数评估响应质量.
- 收集了12名整形外科医生对清晰度,准确性和患者共享潜力的临床评级.
主要成果:
- 聊天GPT-4响应在DISCERN上得分很低 (平均34分),表明质量不佳.
- 可读性得分很低 (FKRE平均为33.6,CL指数为15.6),这表明难以理解.
- 临床医生对清晰度 (平均7.38) 和准确度 (平均7.4) 进行了好评.
结论:
- 聊天GPT-4产生的低质量,难以阅读的信息在整形外科,尽管被认为是临床准确性.
- 人工智能生成的内容需要对患者的使用进行显著改进.
- 人工智能具有作为健康信息开发的起点的潜力,预计未来会有质量改进.
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