睡眠与神经退行性变：人工智能在早期检测和个性化护理中的应用
Sleep and Neurodegeneration: Artificial Intelligence Applications in Early Detection and Personalized Care.
文献信息
| PMID | 42977363 |
|---|---|
| 原文 | 在 PubMed 查看原文 ↗ |
| 发表日期 | 2026 |
| 作者 | Abubaker Ibrahim |
| 作者单位 | Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria. |
| 期刊 | Sleep medicine clinics |
| SCI 分区 | Q2 |
| IF | 5 |
| 研究类型 | 综述 Meta · 临床 |
| 所属专科 | 耳科 |
中文摘要
睡眠障碍日益被认为是神经退行性疾病的风险因素和前驱标志物。类淋巴系统为睡眠中断与错误折叠蛋白积累之间的双向关系提供了机制基础。人工智能（AI）应用，包括自动睡眠分期、可穿戴监测和数字治疗，为早期检测和个性化睡眠健康促进提供了可扩展的工具。本综述审视了将睡眠医学、神经退行性变和AI联系起来的当前证据。
英文摘要
Sleep disturbances are increasingly recognized as both risk factors for and prodromal markers of neurodegenerative diseases. The glymphatic system provides a mechanistic basis for the bidirectional relationship between disrupted sleep and misfolded protein accumulation. Artificial intelligence (AI) applications, including automated sleep staging, wearable monitoring, and digital treatments, offer scalable tools for early detection and personalized sleep health promotion. This review examines current evidence linking sleep medicine, neurodegeneration, and AI.