医疗保健研究中的人工智能代理:范围审查
Basile Njei1,2,3,4,5,6, Yazan A Al-Ajlouni6,7, Ulrick Sidney Kanmounye8
1Section of Digestive Diseases, Department of Medicine, Yale University, New Haven, Connecticut, United States of America.
PloS one
|February 10, 2026
概括
人工智能 (AI) 代理人在医疗保健领域迅速发展,但研究主要使用模拟环境. 未来的研究需要临床试验来评估现实世界采用的安全性和有效性.
科学领域:
- 医疗保健人工智能的人工智能
- 人工智能代理人 人工智能代理人
- 范围审查 范围审查
背景情况:
- 人工智能 (AI) 代理正在改变医疗保健,提供实时决策支持和患者互动.
- 该领域是多学科的,但分散的,技术进步超过了翻译研究和伦理框架.
- 进行了全面的范围审查,以分析医疗保健中的AI代理研究.
研究的目的:
- 系统地审查和分析医疗保健中人工智能代理研究的现状.
- 在医疗保健领域内识别AI代理开发,应用和评估的趋势.
- 突出研究中的差距,特别是在临床翻译和道德考虑方面.
主要方法:
- 根据PRISMA-ScR指南进行范围审查方法.
- 从2015年1月到2025年12月在PubMed,科学网,arXiv和medRxiv进行的搜索.
- 在对1,070个已识别的记录进行全文审查后,包括了43项研究.
主要成果:
- 其中43项研究中有36项是在2025年发表的,这表明近期的快速增长.
- 系统包括对话代理 (8),工作流/自动化助手 (17),以及多式联络决策支持代理 (18).
- 核心机制涉及外部工具使用和代自我校正;评估主要是模拟的,临床结果数据有限.
结论:
- 代理人工智能系统正在演变为决策和自动化的功能原型.
- 目前的研究很大程度上依赖于模拟评估,忽视了临床试验和安全评估.
- 优先考虑临床试验和对安全性,可用性和有效性的强有力的评估对于广泛采用至关重要.
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