[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"difficult-videolaryngoscopy\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:difficult-videolaryngoscopy":59},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,41],{"id":9,"slug":4,"hasResults":10,"nctId":11,"briefTitle":12,"officialTitle":12,"acronym":4,"eligibilityCriteria":13,"healthyVolunteers":10,"sex":14,"minAge":15,"maxAge":16,"enrollmentInfo":17,"targetDuration":4,"studyType":20,"phases":4,"briefSummary":21,"conditions":22,"keywords":24,"overallStatus":28,"whyStopped":4,"lastUpdateSubmitDate":29,"lastUpdatePostDateStruct":30,"startDateStruct":33,"completionDateStruct":35,"leadSponsor":37,"locationsCount":40},"100583842",false,"NCT06881589","Airway Coach Project: Prediction of Videolaryngoscopy Strategy With Clinical and Ultrasound Parameters (Multicentric)","Inclusion Criteria:\n\n* Patients (male or female) ASA I-III, aged between 18 and 90 years, undergoing scheduled surgery requiring orotracheal intubation. The signature of the informed consent is required authorizing its inclusion in the study.\n\nExclusion Criteria:\n\n* Obesity class II defined as a BMI greater than 35.\n* Pregnant.\n* Cervical tumors, goiter or patients who have required radiotherapy at the cervical level\n* Abnormalities that condition anatomy alterations such as facial \u002F cervical fractures.\n* Maxillofacial abnormalities\n* People who cannot give their consent","ALL","18 Years","90 Years",{"count":18,"type":19},210,"ESTIMATED","OBSERVATIONAL","This multicentre observational study will collect clinical parameters, demographic data, and point-of-care airway ultrasound measurements from adult patients undergoing videolaryngoscopy across participating centres. The collected data will be analysed using artificial intelligence-based analytical approaches, including statistical and machine-learning techniques, to examine their association with predefined videolaryngoscopy-related outcomes.",[23],"Difficult Videolaryngoscopy",[25,26,27],"Ultrasound;","AI analyses","Difficult Videolaryngoscopy,","RECRUITING","2026-04-09",{"date":31,"type":32},"2026-04-15","ACTUAL",{"date":34,"type":32},"2025-01-27",{"date":36,"type":19},"2026-09-01",{"name":38,"class":39},"Clinica Universidad de Navarra, Universidad de Navarra","OTHER",1,{"id":42,"slug":4,"hasResults":10,"nctId":43,"briefTitle":44,"officialTitle":44,"acronym":4,"eligibilityCriteria":13,"healthyVolunteers":10,"sex":14,"minAge":15,"maxAge":16,"enrollmentInfo":45,"targetDuration":4,"studyType":20,"phases":4,"briefSummary":47,"conditions":48,"keywords":49,"overallStatus":28,"whyStopped":4,"lastUpdateSubmitDate":51,"lastUpdatePostDateStruct":52,"startDateStruct":54,"completionDateStruct":56,"leadSponsor":58,"locationsCount":40},"100587178","NCT06925009","Airway Coach Project: Prediction of Videolaryngoscopy Strategy With Clinical and Ultrasound Parameters (Unicentric)",{"count":46,"type":19},280,"This unicentric observational study collects clinical characteristics, demographic data, and point-of-care airway ultrasound measurements in patients undergoing videolaryngoscopy. These variables are analysed using machine-learning techniques to examine their association with predefined videolaryngoscopy-related outcomes, including blade performance and adjunct requirement.",[23],[50],"Ultrasound;Difficult Videolaryngoscopy; Machine Learning","2025-12-30",{"date":53,"type":32},"2026-01-02",{"date":55,"type":32},"2023-01-27",{"date":57,"type":19},"2026-06-01",{"name":38,"class":39},""]