Current Status of Diagnosis and Treatment of Obstructive Sleep Apnea Along with Its Challenges and Prospects in the Context of Deep Integration of General Practice and Artificial Intelligence

doi:10.12114/j.issn.1007-9572.2025.0128

Chinese General Practice ›› 2026, Vol. 29 ›› Issue (02): 247-255.DOI: 10.12114/j.issn.1007-9572.2025.0128

• Article·Digital and Intelligent Healthcare • Previous Articles

Current Status of Diagnosis and Treatment of Obstructive Sleep Apnea Along with Its Challenges and Prospects in the Context of Deep Integration of General Practice and Artificial Intelligence

1. Department of General Practice, the First Affiliated Hospital, Guangzhou Medical University, Guangzhou 510120, China
2. Hac Sa Wan (Areia Preta) Health Centre, Macao 999078, China
3. Department of Respiratory and Critical Care, the First Affiliated Hospital of Guangzhou Medical University/National Center for Respiratory Medicine, Guangzhou 510120, China
4. Philosophy and Social Sciences Key Laboratory for Health Governance Based on Big Data Utilization, Guangzhou Medical University, Guangzhou 511436, China

Received:2025-06-10 Revised:2025-08-10 Published:2026-01-15 Online:2025-12-11
Contact: HU Bingjie

全科医学与人工智能融合背景下阻塞性睡眠呼吸暂停的诊疗现状及其挑战与展望

1．510120　广东省广州市，广州医科大学附属第一医院全科医学科
2．999078　澳门特别行政区黑沙环卫生中心
3．510120　广东省广州市，广州医科大学附属第一医院呼吸与危重症医学科　国家呼吸医学中心
4．511436　广东省广州市，广州医科大学基于大数据利用的卫生健康治理哲学社会科学重点实验室

通讯作者: 胡丙杰
作者简介:
作者贡献：
杨信提出文章选题、负责研究资料的收集与整理、论文初稿撰写；徐浩枫、潘萱达、李少强负责研究资料的收集与整理、论文修订；胡丙杰负责文章思路及审校，对文章整体负责。
基金资助:
广东省医学科学技术研究基金项目(C2023081，A2021292); 广州市科技局市校（院）联合资助（登峰医院）项目(202201020454); 广州市卫生健康科技一般引导项目(20221A010046)

Abstract

Abstract:

Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder, and its chronic nature and high correlation with many chronic diseases make its diagnosis and long-term management a great challenge. The traditional treatment model has obvious shortcomings in terms of efficiency, resource allocation, and patient compliance. In primary care, general practice emphasizes a person-centered, comprehensive management model, playing a crucial role in the early screening, diagnosis, and long-term follow-up of OSA. In recent years, the rapid development of artificial intelligence (AI) technology and its application in OSA screening, diagnosis, personalized treatment plan development and long-term follow-up have significantly improved the efficiency and accuracy of OSA diagnosis and treatment, especially through wearable devices, telemedicine and multimodal data analysis to realize the intelligent transformation of OSA management, which provides new solutions to OSA diagnosis and treatment. This review systematically described the epidemiological characteristics of OSA, the attributes of chronic diseases, and the limitations of the existing diagnosis and treatment modes, and explored the practical applications and potentials of the deep integration of general practice and AI technology in OSA management, as well as its current challenges and future prospects. It was emphasized that the future management of OSA needed to promote multidisciplinary collaboration and strengthen the deep integration of general practice and AI technology, to achieve precise and personalized high-quality management of OSA and related chronic diseases.

Key words: General practice, Artificial intelligence, Obstructive sleep apnea, Current state of diagnosis and treatment, Challenges, Prospects

摘要：

阻塞性睡眠呼吸暂停（OSA）是一种常见的睡眠呼吸障碍性疾病，其慢性病特性及其与多种慢性疾病的高度关联性使得其诊疗和长期管理面临巨大挑战。传统的诊疗模式在效率、资源分配和患者依从性方面存在明显不足。在基层医疗中，全科医疗强调以人为中心的综合管理模式，在OSA的早期筛查、诊断和长期随访中发挥重要作用。近年来，人工智能（AI）技术快速发展，其在OSA筛查、诊断、个性化治疗方案制定和长期随访中的应用显著提升了OSA的诊疗效率和精准性，特别是通过可穿戴设备、远程医疗和多模态数据分析实现了OSA管理的智能化转型，为OSA诊疗提供了全新的方案。本文系统阐述了OSA的流行病学特征、慢病属性及现有诊疗模式的局限性，探讨全科医学与AI技术深度融合在OSA管理中的实际应用和潜力及其当前面临的挑战与未来展望。强调未来OSA的管理需推动多学科协作，加强全科医学与AI技术的深度融合，以实现OSA及相关慢性疾病的精准化和个性化的高质量管理。

关键词: 全科医学, 人工智能, 阻塞性睡眠呼吸暂停, 诊疗现状, 挑战, 展望

YANG Xin,XU Haofeng,PAN Xuanda, et al. Current Status of Diagnosis and Treatment of Obstructive Sleep Apnea Along with Its Challenges and Prospects in the Context of Deep Integration of General Practice and Artificial Intelligence[J]. Chinese General Practice, 2026, 29(02): 247-255. DOI: 10.12114/j.issn.1007-9572.2025.0128.
杨信,徐浩枫,潘萱达等. 全科医学与人工智能融合背景下阻塞性睡眠呼吸暂停的诊疗现状及其挑战与展望[J]. 中国全科医学, 2026, 29(02): 247-255. DOI: 10.12114/j.issn.1007-9572.2025.0128.

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Current Status of Diagnosis and Treatment of Obstructive Sleep Apnea Along with Its Challenges and Prospects in the Context of Deep Integration of General Practice and Artificial Intelligence

全科医学与人工智能融合背景下阻塞性睡眠呼吸暂停的诊疗现状及其挑战与展望

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