人工智能应用于老年人睡眠障碍的诊断与干预:基于ICF的Scoping综述

Application of artificial intelligence in diagnosis and intervention in sleep disorder for older adults:a scoping review using ICF

目的综述人工智能在老年人睡眠障碍识别、监测与干预中的应用及效果。方法检索建库至2024年6月PubMed、Web of Science、中国知网、万方数据库人工智能在老年人睡眠障碍领域应用的相关文献,并进行Scoping综述。结果共纳入10篇文献,来自7个国家,涉及36344例老年参与者,发表时间集中于2020年至2024年,研究类型涉及横断面研究6篇、前瞻性研究1篇、自身前后对照研究1篇、随机对照试验2篇,主要来源于临床医学、睡眠、康复医学、信息工程学等领域。人工智能主要应用于监测老年人睡眠全过程,预测与识别睡眠障碍,基于移动平台进行生物反馈、线上咨询和认知行为治疗等干预。结论人工智能不仅可提高睡眠障碍的诊断准确性,还能为临床干预提供有力的数据支撑,基于大数据及智能算法的线上睡眠干预可以为老年人提供有效的健康管理。

Objective To review the application of artificial intelligence(AI)in the identification,monitoring and intervention of sleep disorders in the elderly and the effect.Methods A scoping review was conducted by searching relevant literature ahout the application of AI in the field of sleep disorders among the elderly from databases including PubMed,Web of Science,CNKI,and Wanfang data,covering literatures from the establishment to June,2024.Results A total of ten articles were included,originating from seven countries and involving 36344 elderly participants.The publication dates ranged from 2020 to 2024.The study types included six cross-sectional studies,one prospective study,one self-controlled study and two randomized controlled trials.The articles mainly came from the fields of clinical medicine,sleep research,rehabilitation medicine and information engineering.AI was primarily used for monitoring the entire sleep process of the elderly,predicting and identifying sleep disorders,and interventions such as biofeedback,online consultations and cognitive-behavioral therapy based on mobile platforms.Conclusion AI not only improves the accuracy of diagnosing sleep disorders,but also provides robust data support for clinical intervention.Online sleep interventions based on big data and intelligent algorithms can offer effective health management for the elderly.