人工智能在老年睡眠障碍中的应用

doi:10.3969/j.issn.1003-9198.2025.11.004

摘要/Abstract

摘要： 随着全球老龄化进程的加速,老年人睡眠障碍的高患病率已成为重大公共卫生挑战。传统诊疗模式依赖人工问诊与实验室多导睡眠监测,存在效率低、可及性差、费用高等局限。人工智能技术通过多模态数据融合与自适应算法,为睡眠医学的精准化、智能化转型提供了创新路径。本文旨在系统地阐述人工智能在老年人睡眠障碍的识别与诊断、智能睡眠监测与安全监控、个性化干预等方面中的应用,探讨人工智能的临床转化潜力与挑战,为优化老年睡眠健康管理提供理论依据。

关键词: 老年人, 睡眠障碍, 人工智能, 深度学习

Abstract: As the global aging process accelerates, the high prevalence of sleep disorders among the elderly has become a major public health challenge. The traditional diagnosis and treatment model relies on manual consultation and laboratory polysomnography monitoring, which is limited by low efficiency, poor accessibility and high cost. Artificial intelligence,through the fusion of multi-modal data and adaptive algorithms, offers an innovative path for the precision and intelligent transformation of sleep medicine. This review systematically explain the clinical transformation potential and challenges of artificial intelligence in the recognition and diagnosis of sleep disorders in the elderly, intelligent sleep monitoring and safety monitoring, personalized intervention application and other aspects, so as to provide theoretical basis for optimizing sleep health management in the elderly.

Key words: aged, sleep disorders, artificial intelligence, deep learning

中图分类号:

姜佩明, 肖狄, 谢梦桐, 张延赤, 张宇朋, 俞琼. 人工智能在老年睡眠障碍中的应用[J]. 实用老年医学, 2025, 39(11): 1093-1097.

JIANG Peiming, XIAO Di, XIE Mengtong, ZHANG Yanchi, ZHANG Yupeng, YU Qiong. Application of artificial intelligence in sleep disorders of elderly[J]. Practical Geriatrics, 2025, 39(11): 1093-1097.

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