气道正压治疗：人工智能能否改善依从性与结局？
Positive Airway Pressure Therapy: Can Artificial Intelligence Improve Adherence and Outcomes?
文献信息
| PMID | 42977359 |
|---|---|
| 原文 | 在 PubMed 查看原文 ↗ |
| 发表日期 | 2026 |
| 作者 | Sofia F Furlan |
| 作者单位 | Resmed Science Center, ResMed Inc., San Diego, CA, USA; Unidades de Hipertensão, Instituto do Coração (InCor) e Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, São Paulo, Brazil. |
| 期刊 | Sleep medicine clinics |
| SCI 分区 | Q2 |
| IF | 5 |
| 研究类型 | 综述 Meta · 临床 |
| 所属专科 | 鼻科 |
中文摘要
人工智能（AI）正日益应用于医学领域，越来越多的证据支持其在筛查、表型分型、风险分层和个体化治疗中的作用。在睡眠医学中，AI在阻塞性睡眠呼吸暂停（OSA）的管理中显示出显著潜力。尽管基于算法的持续气道正压（CPAP）使用支持并非新事物，但旨在改善依从性、患者满意度和OSA相关结局的AI驱动个体化方法仍在兴起。观察性研究提示AI在CPAP管理中具有前景广阔的应用；然而，仍需独立的随机试验来验证这些方法，并确定其与传统方法相比对神经、心血管和代谢结局的影响。
英文摘要
Artificial intelligence (AI) is increasingly being applied in medicine, with growing evidence supporting its role in screening, phenotyping, risk stratification, and personalized treatment. In sleep medicine, AI shows significant potential in the management of obstructive sleep apnea (OSA). While algorithm-based support for continuous positive airway pressure (CPAP) use is not new, AI-driven personalized approaches aimed at improving adherence, patient satisfaction, and OSA-related outcomes are still emerging. Observational studies suggest promising applications of AI in CPAP management; however, independent randomized trials are needed to validate these approaches and determine their impact on neurologic, cardiovascular, and metabolic outcomes compared with traditional methods.