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人工智能在预防亲密伴侣暴力中的作用:系统审查

Yang Li¹, Chuka Emezue², Chen Song³

¹School of Nursing, The University of Texas at Austin, Austin, Texas, USA.

Journal of clinical nursing

|March 9, 2026

概括

人工智能 (AI) 工具在改善亲密伴侣暴力 (IPV) 检测和支持方面表现有前途. 然而,需要进一步的研究来解决伦理问题,并确保有效预防IPV的公平实施.

科学领域:

公共卫生公共卫生
计算机科学计算机科学
数字健康数字健康

背景情况:

亲密伴侣暴力 (IPV) 是一个全球性的健康问题,传统的预防方法面临挑战.
人工智能 (AI) 提供了新的方法来增强IPV预防策略.

研究的目的:

系统地审查和综合AI驱动的IPV预防工具的证据.
在IPV预测,查,干预和支持交付中映射AI应用.

主要方法:

按照PRISMA 2020指导方针进行系统审查,搜索多个数据库 (PubMed,Embase,CINAHL,PsycINFO,IEEE Xplore,科学网).
包括评估AI技术用于IPV预测,查,干预或支持的研究.
使用混合方法评估工具 (MMAT) 进行质量评估.

主要成果:

41项研究符合资格标准,使用人工智能进行风险预测 (ML),IPV检测 (NLP),法医分析和聊天机器人支持.
人工智能在预测建模中表现出强的表现,在基于NLP的查中表现出显著的敏感性.
聊天机器人显示可行性和用户接受,但有限的证据表明直接减少IPV发病率.

结论:

人工智能干预显示出增强IPV检测,风险评估和可扩展支持的潜力.
关键的挑战包括算法偏见,数据隐私和整合障碍.
未来的研究必须涉及道德公平,透明度和公平的实施,以便在IPV预防中负责任地部署AI.

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亲密伴侣暴力亲密伴侣暴力机器学习是机器学习.自然语言处理自然语言处理.

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