从人工智能聊天机器人评估心血管疾病信息的质量:一项比较研究
Joshua Singavarapu1, Amber Khemlani1, Menachem Jacobs1
1Cardiology, State University of New York Downstate Health Sciences University, Brooklyn, USA.
Cureus
|August 18, 2025
概括
像Bard和ChatGPT这样的聊天机器人提供了关于心血管疾病的可访问,可操作的信息,其中"心脏病发作"查询产生了更容易理解的答案. 合作是医疗保健中安全人工智能的关键.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 心血管疾病沟通 心血管疾病沟通
背景情况:
- 人工智能 (AI) 聊天机器人越来越多地用于健康信息,提供快速响应.
- 了解人工智能产生的医疗建议的质量,可读性和准确性对于公共卫生至关重要.
- 心血管疾病 (CVD) 普遍存在,因此获得可靠的信息至关重要.
研究的目的:
- 评估AI聊天机器人对常见心血管疾病的反应中的可理解性,可操作性,可读性,质量和错误信息.
- 为了比较著名的聊天机器人 (Bard,ChatGPT 3.5,Claude 2.0,Perplexity) 在提供CVD信息方面的性能.
- 根据特定的CVD搜索查询,识别AI响应的趋势.
主要方法:
- 分析了聊天机器人对心肌梗塞,心力衰竭和心律失常的反应,使用来自谷歌趋势的美国顶级搜索查询.
- 使用DISCERN来确定质量,使用PEMAT来确定可理解性/可操作性,以及使用Flesch-Kincaid来确定可读性.
- 使用克鲁斯卡尔-瓦利斯,奇平方和ANOVA统计测试进行比较分析.
主要成果:
- 巴德在统计学上表现出较低的Flesch-Kincaid阅读分数,表明更简单的可读性.
- 与其他聊天机器人相比,Bard和ChatGPT 3.5提供了更多可操作的信息.
- 关于"心脏病发作"的信息比"心律失常"或"心力衰竭"更容易获得和可操作.
结论:
- 人工智能聊天机器人可以为心血管疾病提供可访问和可操作的信息,特别是在心脏病发作等急性疾病中.
- 聊天机器人和不同CVD主题之间存在可读性和可操作性的差异.
- 确保在患者教育中安全有效地使用人工智能,需要医疗专业人员和人工智能开发人员之间的合作.
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