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人工智能机器人用于心理健康应用:一个范围审查

Peihuang Dong¹, Shujie Zhang², Xinglin Zheng¹

¹School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, 350000, China.

Psychiatry research

|March 12, 2026

概括

人工智能 (AI) 机器人对数字心理健康干预充满希望,有助于诊断,治疗和监测. 然而,临床验证,伦理和隐私方面的挑战需要进一步研究安全有效的AI应用.

科学领域:

数字健康数字健康
医疗保健中的人工智能
心理健康技术心理健康技术

背景情况:

越来越多的人对心理健康服务的需求超过了专业能力.
人工智能 (AI) 机器人为数字心理健康干预提供了一个有希望的解决方案.
人工智能机器人在解决心理健康需求方面具有独特的应用潜力.

研究的目的:

系统地分析人工智能机器人的特性和心理健康方面的技术途径.
引导开发人员选择合适的AI技术用于心理健康应用.
为心理健康提供者和研究人员提供一个选择合适的人工智能机器人的基础.

主要方法:

根据JBI方法和PRISMA-ScR指南进行了范围审查.
搜索了主要的数据库 (PubMed,Embase,PsycINFO,Scopus,IEEE Xplore,ACM,Cochrane) 查找相关的文献. 在这些数据库中搜索了相关的文献.
包括2017年1月1日至2025年5月5日期间发表的关于人工智能机器人在心理健康中的应用的研究.
利用叙事综合来整合34项选定的研究的证据.

主要成果:

人工智能机器人应用于诊断 (19项研究),监测 (5),治疗/干预 (27),风险预测 (8) 和咨询 (13).
关键的研究领域包括焦虑症,抑郁症,自闭症谱系和痴呆症.
机器学习算法提高了诊断效率;自然语言处理 (NLP) 和生成AI提高了个性化干预.
人工智能模型通常表现良好,准确度是报告最多的指标.

结论:

人工智能机器人在心理健康服务方面表现有前途,但在临床有效性,技术有效性,隐私和道德方面面临挑战.
未来的研究应该优化算法并进行严格的随机临床试验.
改善隐私和安全机制对于安全,可靠和可持续的AI应用在心理健康方面至关重要.

关键词:

人工智能的人工智能是人工智能.聊天机器人聊天机器人机器学习是机器学习.心理健康心理健康自然语言处理自然语言处理.机器人机器人机器人范围审查范围审查

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