使用人工智能 (AI) 来评估虚假或误导性的健康相关声明的流行程度
Les Rose1, Susan Bewley2, Mandy Payne3
1Clinical Research Consultant, Retired, Salisbury, UK.
Royal Society open science
|October 31, 2024
概括
大多数英国在补充和自然医疗保健委员会 (CNHC) 注册的补充医疗保健从业者在网上提出虚假或误导性的健康声明. 一个人工智能 (AI) 工具发现,97%的评估网站包含了此类声明,突出了监管方面的担忧.
科学领域:
- 补充和替代医学 (CAM)
- 卫生条例 卫生条例
- 医疗保健中的人工智能
背景情况:
- 英国对补充医疗保健存在自愿监管,一些实践包含伪科学.
- 人们仍然担心,受监管的医生会做出毫无根据或误导性的健康声明.
- 补充和自然医疗保健委员会 (CNHC) 是一个基于英国的补充治疗师的监管机构.
研究的目的:
- 量化伪科学补充和替代医学从业者在CNHC注册的网站上虚假或误导性的健康声明的普遍性.
- 评估人工智能 (AI) 工具在识别这些主张方面的实用性.
- 评估人工智能在检测误导性健康主张方面的效率与人类审查相比.
主要方法:
- 开发了一个AI工具来下载和分析CNHC注册从业者的网站.
- 人工智能确定了相关的网站,并评估了与健康有关的声明的文本,这些声明被认为是虚假或误导性的,并提供了理由.
- 人工智能性能由评估人员验证,他们审查了一组网页的子集.
主要成果:
- 在分析的725个相关从业者网站中,AI在704个 (97%) 上发现了虚假或误导性声明.
- 人工智能评估了11771个网页,表明误导性信息的普遍性很高.
- 人工智能性能与人类评估者相当,错误识别较少.
结论:
- 大多数在CNHC注册的伪科学补充疗法从业者在网上传播误导性的健康声明.
- 人工智能工具在支持监管机构有效识别和解决补充医疗保健中的误导性健康声明方面表现有前途.
- 这些发现强调了需要对受监管的补充实践者提出的健康声明进行强有力的监督.
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