在数字健康中使用基于人工智能 (AI) 的聊天机器人:系统性审查
Shi Feng1, Xiufang Leah Li1, Alexandra Nicole Wake1
1School of Media and Communication, RMIT University, Melbourne, Victoria, Australia.
PLOS digital health
|February 12, 2026
概括
基于人工智能 (AI) 的聊天机器人提供创新的健康解决方案. 这一系统性审查评估了它们的应用和有效性,确定了未来发展的关键研究领域和局限性.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 医疗保健行业越来越多地采用人工智能 (AI) 解决方案.
- 基于人工智能的聊天机器人正在成为解决健康挑战的关键工具.
- 深度学习架构正在推动人工智能医疗应用的进步.
研究的目的:
- 对医疗保健中基于人工智能的聊天机器人的现有研究进行系统审查.
- 识别人工智能聊天机器人的当前应用和评估方法.
- 解决有关聊天机器人的有效性和伦理影响的担忧.
主要方法:
- 来自八个主要数据库的348篇文章的系统文献综述.
- 分析的重点是医疗领域的基于AI的聊天机器人.
- 确定了四个主要研究领域:文本质量,临床疗效,用户参与度和安全性.
主要成果:
- 基于人工智能的聊天机器人应用于四个主要研究领域.
- 随机对照试验 (RCT) 的数量存在显著差距.
- 理论框架的有限使用阻碍了可靠的绩效评估.
结论:
- 需要进一步的研究来优化AI聊天机器人在医疗保健中的潜力.
- 解决RCT和理论框架的缺乏对于推动聊天机器人开发至关重要.
- 未来的方向应侧重于提高临床疗效,用户参与度和安全性,同时考虑伦理影响.
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