[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Mu Dong Liang\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":40},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":4,"eligibilityCriteria":14,"healthyVolunteers":11,"sex":15,"minAge":16,"maxAge":4,"enrollmentInfo":17,"targetDuration":4,"studyType":20,"phases":4,"briefSummary":21,"conditions":22,"keywords":24,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":30,"lastUpdatePostDateStruct":31,"startDateStruct":34,"completionDateStruct":35,"leadSponsor":37,"locationsCount":5},"100591570","ai-based-prediction-model-of-difficult-tracheal-intubation-using-medical-image-parameters-100591570",false,"NCT06982144","AI-based Prediction Model of Difficult Tracheal Intubation Using Medical Image Parameters","Inclusion Criteria:\n\n1. age ≥18 years old;\n2. surgical patients undergoing general anesthesia with endotracheal intubation;\n3. with head and neck CT examination results\n4. Consent to participate in the study.\n\nExclusion Criteria:\n\n1. The presence of laryngeal edema;\n2. The presence of airway stenosis, including internal airway stenosis (such as foreign body or tumor) or stenosis caused by external tracheal mass compression;\n3. tracheo-esophageal fistula;\n4. severe gastroesophageal reflux;\n5. previous upper airway surgery, such as laryngeal cancer radical surgery, snoring surgery, etc.\n\n6）participating in other research projects","ALL","18 Years",{"count":18,"type":19},228,"ESTIMATED","OBSERVATIONAL","Difficult airway is a life-threatening event during anesthesia. Prediction model is helpful to detect high-risk patients and decrease the risk of un-anticipated difficult airway. Present models are usually based on Mallampati grade and the width of mouth open. However, the prediction accuracy is only about 0.7-0.8 in different populations. Present study is designed to investigate if AI-based prediction model using medical imaging parameters (such as CT and MRI) can increase the accuracy of prediction model.",[23],"Difficult Airway",[25,26,27,28],"difficult airway","AI-based method","medical imaging","prediction model","NOT_YET_RECRUITING","2025-05-20",{"date":32,"type":33},"2025-05-21","ACTUAL",{"date":30,"type":19},{"date":36,"type":19},"2026-05-30",{"name":38,"class":39},"Mu Dong Liang","OTHER",""]