[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100639921":3},{"organization":4,"armGroups":7,"interventions":13,"overallOfficials":10,"centralContacts":10,"locations":10,"responsibleParty":18,"collaborators":10,"id":22,"slug":23,"hasResults":24,"nctId":25,"briefTitle":26,"officialTitle":27,"acronym":10,"eligibilityCriteria":28,"healthyVolunteers":24,"sex":29,"minAge":30,"maxAge":10,"enrollmentInfo":31,"targetDuration":10,"studyType":34,"phases":35,"briefSummary":37,"conditions":38,"keywords":10,"overallStatus":41,"whyStopped":10,"lastUpdateSubmitDate":42,"lastUpdatePostDateStruct":43,"startDateStruct":46,"completionDateStruct":48,"leadSponsor":50,"locationsCount":10},{"fullName":5,"class":6},"Assiut University","OTHER",[8],{"label":9,"type":6,"description":10,"interventionNames":11},"AI-Based Assessment",null,[12],"Other: AI",[14],{"type":6,"name":15,"description":16,"armGroupLabels":17,"otherNames":10},"AI","using AI-driven simulations which enable the generation of realistic preoperative predictions, thereby improving surgical planning and patient communication.",[9],{"type":19,"investigatorFullName":20,"investigatorTitle":21,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Menntallah ahmad kamal ahmad","Docter","100639921","ai-in-assessing-aesthetic-outcomes-in-rhinoplasty-100639921",false,"NCT07580573","AI in Assessing Aesthetic Outcomes in Rhinoplasty","Use of Artificial Intelligence in Assessment of Aesthetic Outcomes in Rhinoplasty","Inclusion Criteria:\n\n* Patients age\\> 18 years old.\n* patients schedule for rhinoplasty surgery\n\nExclusion Criteria:\n\n* Pervious nasal trauma that affect anatomical land mark\n* pervious nasal surgery (rhinoplasty or others)\n* patients with psychological disorders.\n* patients with any coagulopathy disorders","ALL","18 Years",{"count":32,"type":33},20,"ESTIMATED","INTERVENTIONAL",[36],"NA","This study aims to thoroughly assess the predictive accuracy of artificial intelligence-based nasal outcome simulations by comparing AI-generated preoperative predictions with objective postoperative nasal morphology using digital image analysis.\n\nTo assess accuracy of AI-image measurement compared with imageJ software",[39,40],"Rhinoplasty","AI (Artificial Intelligence)","NOT_YET_RECRUITING","2026-05-05",{"date":44,"type":45},"2026-05-12","ACTUAL",{"date":47,"type":33},"2026-06-01",{"date":49,"type":33},"2027-07-01",{"name":5,"class":6}]