人工智能聊天机器人如何响应有关泌尿病恶性瘤的顶级搜索查询?
David Musheyev1, Alexander Pan1, Stacy Loeb2
1Department of Urology, State University of New York Downstate Health Sciences University, New York, NY, USA.
European urology
|August 11, 2023
概括
人工智能聊天机器人提供精确,高质量的关于泌尿癌的信息. 然而,内容难以阅读和理解,缺乏可为患者提供可行的指导.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能聊天机器人越来越多地用于健康信息检索.
- 有限的数据存在于人工智能为泌尿病恶性瘤生成的信息的质量.
研究的目的:
- 评估人工智能聊天机器人对常见泌尿癌的反应的质量,可理解性,可操作性和错误信息.
- 为了评估ChatGPT,Perplexity,Chat Sonic和微软Bing AI提供的信息.
主要方法:
- 利用前列腺,膀,脏和丸癌症 (2021年1月至2023年1月) 的谷歌趋势搜索查询.
- 输入查询到四个人工智能聊天机器人,并使用DISCERN和PEMAT-P仪器评估响应.
- 评估信息质量,可理解性,可操作性,错误信息和可读性.
主要成果:
- 人工智能聊天机器人的响应显示信息质量中等至高 (DISCERN平均分数为4/5),没有错误信息.
- 可理解性中等 (PEMAT-P 中位数为66.7%),但可操作性很差 (PEMAT-P 中位数为40%).
- 答案写在难以阅读的水平,超过了推的消费者健康信息标准.
结论:
- 人工智能聊天机器人通常提供有关泌尿癌的准确和高质量的信息.
- 目前人工智能产生的内容缺乏明确,可操作的指令,对公众来说很难理解.
- 为了有效的患者教育,需要提高清晰度,可操作性和可读性.
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