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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【中图分类号】R-05【文献标识码】A DOI：10.12114/j.issn.1007-9572.2025.0128

【Abstract】Obstructive sleepapnea （OSA）isacommonsleep-relatedbreathingdisorder，anditschronic natureand high correlationwithmanychronicdiseasesmakeitsdiagnosisandlong-termmanagementagreatchallnge.Thetraditionaltreatment model hasobviousshortcomings intermsof eficiency，resoureallocation，ndpatientcompliance.Inprimarycare，general practiceemphasesapersonenteredcomprehensieanagemntodel，playingaucialroleinearlysreinggosis， andlong-terfolloupofOSA.Inrecentyears，teapidevelopmentofarticalintellgence（A）technologyanditsapplication inOSAscreening，diagnosis，personalizedtreatmentplandevelopmentandlong-termfollow-uphavesignificantlyimproved theeffciencyandaccuracyofOSAdiagnosisand treatment，especiallythrough wearabledevices，telemedicineandmultiodal dataanalysis torealizetheinteligent transformationofOSA management，which provides newsolutionstoOSAdiagnosisand treatment.ThisreviewsystematicallydescibedtheepidemiologicalcharacteristicsofOSA，theatributesofchronicdiseases，and thelimitationsof theexistingdiagnosisandtreatment modes，and exploredthepracticalapplicationsandpotentialsofthedeep integrationofgeneralpracticeandAItechnologinOSAmanagement，asellasitscurrntchallengesadfutureprospcts.It was emphasized that thefuture managementofOSA needed to promote multidisciplinarycollaborationand strengthen the deep integrationof generalpracticeandAItechnolog，toachievepreciseandpersonalizedhigh-qualitymanagementofOSAandrelated chronic diseases.

【Key words】General practice; Artificial intelligence; Obstructive sleep apnea; Current state of diagnosisand treatment： Challenges; Prospects

1引言

1.1阻塞性睡眠呼吸暂停（OSA）与公共健康

OSA是一种以睡眠期间反复发生气道塌陷致上气道完全或部分被阻塞，出现呼吸暂停或低通气状态的疾病[1]。（剩余24621字）