关于人工智能聊天机器人结石的信息质量
David Musheyev1, Alexander Pan1, Abdo E Kabarriti1
1Department of Urology, State University of New York Downstate Health Sciences University, Brooklyn, New York, USA.
Journal of endourology
|July 13, 2024
概括
人工智能 (AI) 聊天机器人提供有关结石的准确信息,但内容往往太复杂,无法轻松理解,并且缺乏对患者的可操作建议. 需要进一步开发以提高可读性和实际应用.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 医疗信息学 医疗信息学
- 卫生沟通健康沟通
背景情况:
- 结石代表着一个重要的全球健康负担,其发病率越来越高.
- 现有的结石在线健康信息来源已经显示出相当大的局限性.
- 人工智能 (AI) 的兴起需要对其在提供健康信息方面的作用进行评估.
研究的目的:
- 评估人工智能聊天机器人生成的结石信息的质量,可理解性和可操作性.
- 将人工智能生成的内容与确定的医疗指南进行准确性和错误信息的比较.
- 分析AI聊天机器人对消费者的反应的阅读水平和实际实用性.
主要方法:
- 利用谷歌趋势和国家糖尿病,消化和疾病研究所 (NIDDK) 头条作为四个AI聊天机器人的提示.
- 采用了经过验证的工具:DISCERN用于质量,PEMAT用于理解性和可操作性.
- 评估阅读水平 (Flesch-Kincaid) 和与临床指南相反的错误信息存在.
主要成果:
- 人工智能聊天机器人提供了高质量的信息 (中位数DISCERN:4/5) 与最小的错误信息 (中位数:1/5).
- 可理解性是中等的 (中位数为69.6%),可操作性是中等到差的 (中位数为40%).
- 信息呈现在高级阅读水平 (Flesch-Kincaid中位数:11.3,相当于11年级).
结论:
- 人工智能聊天机器人是结石信息的一般准确和可靠来源,没有错误信息.
- 目前人工智能生成的内容需要提高患者使用的清晰度和可操作性.
- 人工智能反应的高级阅读水平对有效的消费者健康理解构成障碍.
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