人工智能增强的睡眠医学远程监测：远程照护革命

文献信息

中文摘要

背景： 阻塞性睡眠呼吸暂停影响全球近10亿人，然而气道正压通气治疗的长期依从性仍不理想。本综述探讨基于云的远程监测、患者参与平台和人工智能如何通过实现预测性风险分层、个性化行为干预和可扩展的自动化照护提供，正在改变整个睡眠医学的管理。多维依从性框架同时应对设备、行为、动机和教育方面的障碍。证据支持将人工智能驱动的自动化管理与有针对性的临床医生监督相结合的混合照护模式，围绕报销、监管、数据安全和公平性的关键实施考量，为睡眠医学之外的精准慢性病管理提供了一个可复制的框架。

英文摘要

Obstructive sleep apnea affects nearly 1 billion people worldwide, yet positive airway pressure therapy remains limited by suboptimal long-term adherence. This review examines how cloud-based telemonitoring, patient engagement platforms, and artificial intelligence are transforming management across sleep medicine by enabling predictive risk stratification, personalized behavioral interventions, and scalable automated care delivery. A multidimensional adherence framework addresses equipment, behavioral, motivational, and educational barriers simultaneously. Evidence supports hybrid care models combining artificial intelligence-driven automated management with targeted clinician oversight, key implementation considerations around reimbursement, regulation, data security, and equity, offering a replicable framework for precision chronic disease management beyond sleep medicine.