[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100651785":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":7,"centralContacts":8,"locations":14,"responsibleParty":28,"collaborators":7,"id":32,"slug":33,"hasResults":34,"nctId":35,"briefTitle":36,"officialTitle":37,"acronym":7,"eligibilityCriteria":38,"healthyVolunteers":34,"sex":39,"minAge":40,"maxAge":7,"enrollmentInfo":41,"targetDuration":7,"studyType":44,"phases":7,"briefSummary":45,"conditions":46,"keywords":48,"overallStatus":16,"whyStopped":7,"lastUpdateSubmitDate":54,"lastUpdatePostDateStruct":55,"startDateStruct":58,"completionDateStruct":60,"leadSponsor":62,"locationsCount":63},{"fullName":5,"class":6},"Duzce University","OTHER",null,[9],{"name":10,"role":11,"phone":12,"phoneExt":7,"email":13},"gizem demir şenoğlu, ass. prof","CONTACT","05059313588","gizemsenoglu@duzce.edu.tr",[15],{"facility":5,"status":16,"city":17,"state":17,"zip":7,"country":18,"countryCode":7,"cosmosGeoPoint":19,"geoPoint":24,"contacts":25},"RECRUITING","Düzce","Turkey (Türkiye)",{"type":20,"coordinates":21},"Point",[22,23],31.16389,40.83889,{"lat":23,"lon":22},[26],{"name":27,"role":11,"phone":12,"phoneExt":7,"email":13},"gizem demir şenoğlu",{"type":29,"investigatorFullName":30,"investigatorTitle":31,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"PRINCIPAL_INVESTIGATOR","Gizem Demir Şenoğlu","Ass.Prof","100651785","artificial-intelligence-assisted-ultrasound-assessment-of-laryngeal-mask-airway-placement-100651785",false,"NCT07766382","Artificial Intelligence-Assisted Ultrasound Assessment of Laryngeal Mask Airway Placement","Artificial Intelligence-Assisted Ultrasound Confirmation of Laryngeal Mask Airway Placement Using Fiberoptic Assessment as the Reference Standard: A Prospective Diagnostic Accuracy Study","Inclusion Criteria:\n\n* Adults undergoing elective surgery under general anesthesia in whom LMA use is clinically planned; ASA physical status I-III; ability to provide written informed consent.\n\nExclusion Criteria:\n\n* Emergency surgery; pregnancy; anticipated difficult airway; major upper airway or neck anatomical abnormality or previous major neck surgery; clinically significant aspiration risk or contraindication to LMA use; inability to obtain adequate ultrasound images or fiberoptic assessment.","ALL","18 Years",{"count":42,"type":43},200,"ESTIMATED","OBSERVATIONAL","This prospective observational study aims to develop and evaluate artificial intelligence-based models for the assessment of laryngeal mask airway (LMA) placement in adult patients undergoing elective surgery under general anesthesia. Following LMA insertion, standardized airway ultrasound images will be obtained and fiberoptic assessment will be performed as the anatomical reference standard. Fiberoptic findings will be classified as optimal (Brimacombe grades 3-4) or suboptimal (grades 1-2). Clinical and quantitative airway ultrasound variables will also be recorded. The predictive performance of tabular, image-only, and multimodal artificial intelligence models will be evaluated for identifying optimal versus suboptimal LMA placement.",[47],"Airway Management",[49,50,51,52,53],"Laryngeal Mask Airway","Supraglottic Airway","Airway Ultrasonography","Artificial Intelligence","Machine Learning","2026-08-11",{"date":56,"type":57},"2026-08-14","ACTUAL",{"date":59,"type":57},"2026-08-10",{"date":61,"type":43},"2027-05-15",{"name":5,"class":6},1]