基于人工智能的对话代理在医疗保健中的应用:一个系统的总体审查
Anh L Huynh1, Tamal J Roy2, Kierra N Jackson3
1C.T. Bauer College of Business, University of Houston, TX, USA.
International journal of medical informatics
|December 3, 2025
概括
基于人工智能的对话代理 (基于AI的CA) 在医疗保健中表现有前途,但它们的整体有效性尚不清楚. 为了成功实施人工智能,需要在健康生活方式推广等研究不足的领域进行更多的研究.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 人工智能的人工智能
- 数字健康数字健康
背景情况:
- 基于人工智能的对话代理 (基于AI的CA) 在医疗保健中越来越重要,用于通信和服务提供.
- 缺乏基于AI的CA当前应用和医疗保健中的有效性的全球综合.
研究的目的:
- 在医疗保健中全面概述基于AI的CA的当前应用.
- 分析基于AI的CA实施的相关健康相关结果.
主要方法:
- 系统搜索六个数据库和其他来源 (2000-2025年).
- 包括同行评审的系统文献评论 (SLRs),重点关注医疗保健中的基于AI的CA.
- 分析报告与健康相关结果的SLR和至少70%的基于AI的CA应用的初级研究.
主要成果:
- 包括44个SLR,详细介绍了基于AI的CA应用在临床决策支持,心理健康和教育方面.
- 使用深度学习的基于文本的CA,作为独立或嵌入式工具部署,是最常见的.
- 报告的积极健康结果主要是用于成支持 (吸烟,物质使用);临床决策支持和心理健康得到了充分的研究,而生活方式推广却没有得到充分的研究.
结论:
- 在医疗保健中基于AI的CA的整体有效性仍然难以确定,需要发展透明度和标准化.
- 研究重点存在不平衡,一些医疗保健领域比其他领域受到更多关注.
- 对尚未研究的领域进行进一步的学术研究对于成功地将基于AI的CA整合到医疗保健中至关重要.
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