通过人工智能聊天机器人评估心脏导管治疗患者教育材料的质量:一项观测性横截面研究
Benjamin J Behers1, Christoph A Stephenson-Moe2, Rebecca M Gibons2
1Department of Internal Medicine, Sarasota Memorial Hospital, Sarasota, USA.
Cureus
|October 24, 2024
概括
像ChatGPT和Google Gemini这样的AI聊天机器人提供了高质量的心脏导管治疗患者教育材料,提高了健康素养. 超人工智能产生的质量较低的内容,表明人工智能产生的健康信息的变化.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者教育 患者教育
背景情况:
- 健康素养对于患者参与医疗保健决策至关重要.
- 大型语言模型 (LLM) 驱动的聊天机器人越来越多地用于获取健康信息.
- 评估人工智能产生的健康内容的质量至关重要.
研究的目的:
- 评估人工智能聊天机器人产生的心脏导管治疗患者教育材料的质量.
- 为了比较ChatGPT,微软Copilot,谷歌Gemini和MetaAI在产生可靠的健康信息方面的性能.
主要方法:
- 对四个人工智能聊天机器人提出了关于心脏导管术的十个问题.
- 生成的答案被编译成患者教育材料.
- 材料使用DISCERN和患者教育材料评估工具 (PEMAT) 进行了评估.
主要成果:
- 聊天GPT,微软Copilot和谷歌Gemini都表现出高可靠性和质量得分.
- 聊天GPT和谷歌双子实现了100%的可理解性.
- 超级人工智能在质量,可理解性和可操作性方面得分较低.
结论:
- 聊天GPT和谷歌双子提供可靠的,高质量的患者教育材料心脏导管.
- 人工智能聊天机器人可以作为寻求健康信息的患者的宝贵资源.
- 需要进一步的研究来解决不同人工智能模型之间的质量差异.
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