人工智能在气道管理方面的研究进展

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中图分类号：R563，TP18 文献标志码：A DOI：10.11958/20251687

Advances inartificial intelligence forairwaymanagementof intubated patients

LI Jiarong1， ZHU Xiaomin1，ZHAO Xiaoyun²△ 1Medical choolofTianjin University，Tianjin3oo72，China;2DepartmentofRespiratoryandCritical Care Medicine，Tianjin UniversityChestHospital △Corresponding Author E -mail： zxydoctor@163.com

Abstract：Airway managementis a critical component of critical patientcare.Although traditional methods of airway managementareeffectivetosomeextent，theystillfacemanychallnges，suchasdifficultairways，delayedendotracheal intubation，endotrachealtube migration，unpredictableairwaycomplicationsandfailure tomechanical ventilation weaning. Artificialintellgnce，echnologicaltoolwithdvacedalgorihs，fersimportantinnovationstoimprovesaety andeffciencyof airway management with itsmultimodaldataintegrationandreal-timedecisionsupportcapabilitiesFor example，AIcanbeusedinareassuchasreal-time monitoringofpatients’vitalsigns，dynamicadjustmentofventilator parameters，monitoringandasessmentof airwaycomplications，ndasistedrobotic tracheal intubation.Inadition，AIis abletobuildpredictivemodels basedonbigdatatohelpreducetheriskofinjury inmechanicallyventilated patientsand assistclinicians inmaking timelydecisions.Thispaper reviews theresearch progress ofAI inairway managementand discusses issues of privacyand security，ethics，model performanceand interpretability that maybefaced during the useof AI，and looks forward toa more active role for AI in airway management in future.

KeyWords：artiicialintelligence;aymanagement;intubationtratrachal;respiation，artiicial;dicultiay robotic endotracheal intubation

呼吸危重症是指由于各种原因引起的呼吸功能严重障碍，导致患者无法通过自主呼吸维持正常的气体交换，从而出现严重的低氧血症、二氧化碳潴留及酸碱失衡等生命危急的状况。（剩余17029字）