人工智能用于困难气道预测的研究进展

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【中图分类号】R614.1 【文献标志码】A

【AbstractAyassessmntisanmportantprerequsiteforiaymanagement.Diiultaiay（DA）ismajorchallngeinae thesiamanagementandfailuretopredictDAinadvancemayleadtoseriousadverseeventssuchasfailedintubationandhypoemia. Accurate assessmentandpredictioofpossibleAbeforesurgeryisofvitalimportance.Traditionalassessmentsystemsrelyoneexperienceofthepysicianepernceforinterpretatio，withalowsensitiyanddificultisinidentifinghddennatomicalbo malities.Relyingonpowefullearngaddataanalysiscapabilitiesartiialinteligene（A）establissapredictiemodelforA byintegratingmultimodaldataonthebasisof machinelearninganddeeplearning，therebyimproving theeficiencyandaccuracyof identifyngabalatoicaluctursinthiayichlpstoigniicantlyprovereditioiecyevelaeted regimen，mplementfectiveanagement，ndsuretesfetydqualityofnestsia.Tisrticleviewsteeseachoheapplication ofAI in predictingDAin recent years.

【Key wordslaiwayassessment;diffcultairway;predictive model;artificialintellgence;deeplearning;machinelearning

气道管理是麻醉患者接受手术或诊断性操作时的必要环节，也是心肺复苏、重症监护等危及生命情况下的关键措施。（剩余17523字）