实用老年医学 ›› 2026, Vol. 40 ›› Issue (4): 417-421.doi: 10.3969/j.issn.1003-9198.2026.04.017

• 讲座与综述 • 上一篇    下一篇

人工智能在老年照护情绪管理应用中的研究进展

田书云, 常丽娟, 陈欣, 范琪, 马菲菲   

  1. 130000 吉林省长春市,长春中医药大学护理学院(田书云,陈欣,范琪,马菲菲);
    130000 吉林省长春市,长春中医药大学附属医院老年病科(常丽娟)
  • 出版日期:2026-04-23 发布日期:2026-04-23
  • 通讯作者: 常丽娟,Email:Changlj1024@136.com
  • 基金资助:
    吉林省中医药科技项目(2024037)

Research progress of artificial intelligence in emotional management for elderly care

TIAN Shuyun, CHANG Lijuan, CHEN Xin, FAN Qi, MA Feifei   

  1. Nursing Institute, Changchun University of Chinese Medicine, Changchun 130000, China (TIAN Shuyun, CHEN Xin, FAN Qi, MA Feifei);
    Department of Geriatrics, the Affiliated Hospital of Changchun University of Chinese Medicine, Changchun 130000, China (CHANG Lijuan)
  • Online:2026-04-23 Published:2026-04-23
  • Contact: CHANG Lijuan, Email: Changlj1024@136.com

摘要: 随着全球老龄化进程加速,老年人情绪健康问题日益凸显,传统干预手段存在药物依赖性强、不良反应显著等局限。人工智能(artificial intelligence,AI)技术通过情绪识别、动态预测及个性化干预,为老年情绪照护提供创新解决方案。本文系统综述了AI在老年情绪照护管理中的应用现状、核心场景、面临挑战及未来方向,旨在为我国相关领域的发展提供理论借鉴与实践参考。未来的发展亟需通过技术适老化改造、数据与算法治理以及政策协同的多维路径,以推动AI真正成为老年情绪照护伙伴。   

关键词: 老年人, 人工智能, 照护, 情绪管理, 老年护理

Abstract: With the acceleration of global aging, emotional health issues among the elderly have become increasingly prominent. Traditional intervention methods have limitations such as strong reliance on drugs and significant side effects. Artificial intelligence (AI) technology, through emotion recognition, dynamic prediction, and personalized intervention, offers innovative solutions for elderly emotional care. This article systematically reviews the current application status, core scenarios, challenges, and future directions of AI in elderly emotional care management, aiming to provide theoretical references and practical guidance for the development of related fields in China. The future development urgently requires a multi-dimensional approach including aging-friendly technological transformation, data and algorithm governance, and policy coordination to truly make AI a partner in elderly emotional care.

Key words: aged, artificial intelligence, care, emotion management, geriatric nursing

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