人工智能聊天机器人的评估 回答关于癌症的最常被搜索的查询
Alexander Pan1, David Musheyev1, Daniel Bockelman1
1Department of Urology, State University of New York Downstate Health Sciences University, New York.
JAMA oncology
|August 24, 2023
概括
人工智能 (AI) 聊天机器人提供准确的癌症信息,但缺乏可操作性,并以大学阅读水平撰写,这表明寻求健康信息的消费者可以补充使用.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 消费者健康信息消费者健康信息
背景情况:
- 消费者越来越依赖人工智能 (AI) 聊天机器人获得健康信息.
- 从AI聊天机器人获得的癌症信息的质量和准确性需要使用验证的仪器进行评估.
研究的目的:
- 评估信息质量和识别四个AI聊天机器人生成的关于常见癌症 (皮肤,肺,乳腺,结直肠,前列腺) 的错误信息.
主要方法:
- 一项横截面研究分析了人工智能聊天机器人对五种常见癌症 (2021-2023) 的前五个谷歌搜索查询的响应.
- 四个人工智能聊天机器人 (ChatGPT,Perplexity,Chatsonic,Bing AI) 用DISCERN仪器对信息质量和PEMAT对可理解性和可操作性进行了评估.
- 使用弗莱什-金凯德等级等级得分来评估可读性,错误信息在利克特等级上得分.
主要成果:
- 人工智能聊天机器人提供了优质的癌症信息 (DISCERN中位数:5/5),没有发现错误信息.
- 信息的理解度中等 (PEMAT理解度的中位数为66.7%),但可操作性很差 (PEMAT可操作性的中位数为20.0%).
- 答案是以大学阅读水平 (弗莱什-金凯德等级) 编写的.
结论:
- 人工智能聊天机器人为常见的查询提供准确的,尽管不易操作的癌症信息.
- 大学级的阅读复杂性和缺乏可操作性表明,人工智能聊天机器人应该补充,而不是取代初级医疗信息来源.
- 需要进一步的研究,以提高人工智能产生的健康内容的可操作性和可访问性.
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