[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100617171":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":20,"centralContacts":24,"locations":34,"responsibleParty":53,"collaborators":10,"id":56,"slug":57,"hasResults":58,"nctId":59,"briefTitle":60,"officialTitle":61,"acronym":62,"eligibilityCriteria":63,"healthyVolunteers":64,"sex":65,"minAge":66,"maxAge":67,"enrollmentInfo":68,"targetDuration":10,"studyType":71,"phases":10,"briefSummary":72,"conditions":73,"keywords":75,"overallStatus":77,"whyStopped":10,"lastUpdateSubmitDate":78,"lastUpdatePostDateStruct":79,"startDateStruct":82,"completionDateStruct":84,"leadSponsor":86,"locationsCount":87},{"fullName":5,"class":6},"Al-Azhar University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Patients",null,"Patients undergoing routine cephalometric analysis, used to validate AI-driven measurements against manual tracings.",[13],"Diagnostic Test: Artificial Intelligence-Driven Cephalometric Analysis",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":10},"DIAGNOSTIC_TEST","Artificial Intelligence-Driven Cephalometric Analysis","Cephalometric analysis performed using AI software, compared with manual tracings for validation of accuracy in orthodontic diagnosis and treatment planning.",[9],[21],{"name":22,"affiliation":5,"role":23},"Mohammed A Mohammed, DDs,phD","PRINCIPAL_INVESTIGATOR",[25,30],{"name":26,"role":27,"phone":28,"phoneExt":10,"email":29},"Hamdi K Khalaf, BDs","CONTACT","201025135711","hamdikhalaf5@gmail.com",{"name":31,"role":27,"phone":32,"phoneExt":10,"email":33},"Noha S Mohammed, BDs","201148294667","nohaelkhateeb32@gmail.com",[35],{"facility":36,"status":10,"city":37,"state":38,"zip":39,"country":40,"countryCode":41,"cosmosGeoPoint":42,"geoPoint":47,"contacts":48},"Faculty of Dentistry, Al-Azhar University","Asyut","Asyut Governorate","71524","Egypt","EG",{"type":43,"coordinates":44},"Point",[45,46],31.18368,27.18096,{"lat":46,"lon":45},[49,51,52],{"name":50,"role":27,"phone":28,"phoneExt":10,"email":29},"Hamdi K Ali, BDs",{"name":31,"role":27,"phone":32,"phoneExt":10,"email":33},{"name":22,"role":23,"phone":10,"phoneExt":10,"email":10},{"type":23,"investigatorFullName":54,"investigatorTitle":55,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"Hamdi Khalaf Ali","Principal Investigator (Master's Degree Researcher)","100617171","validation-of-ai-based-cephalometric-analysis-in-orthodontics-100617171",false,"NCT07315152","Validation of AI-Based Cephalometric Analysis in Orthodontics","Validation of Artificial Intelligence-Driven Cephalometric Analysis as a Reliable Tool for Orthodontic Diagnosis and Treatment Planning","AI-CEPH","Inclusion Criteria:\n\n* No systemic disease.\n* Not receiving medical treatment that could interfere with bone metabolism.\n* Good level of oral hygiene.\n* No periodontal disease or radiographic evidence of bone loss.\n\nExclusion Criteria:\n\n* Periodontally compromised patients.\n* Presence of systemic diseases.\n* Drug dependencies.\n* Uncooperative patients.",true,"ALL","12 Years","30 Years",{"count":69,"type":70},55,"ESTIMATED","OBSERVATIONAL","This study is designed to evaluate whether artificial intelligence can analyze cephalometric images in orthodontics as a reliable tool for diagnosis and treatment planning. The study will include orthodontic patients who need cephalometric evaluation. Participants will have their X-ray images analyzed using both the AI system and traditional manual methods. The study will compare the results to see how closely the AI measurements match the standard measurements. This information may help patients, families, and health care providers understand how AI can support orthodontic diagnosis and treatment planning.",[74],"Malocclusion",[76],"Treatment planing Orthodontics cephalometric analysis","NOT_YET_RECRUITING","2026-01-03",{"date":80,"type":81},"2026-01-07","ACTUAL",{"date":83,"type":70},"2026-05",{"date":85,"type":70},"2028-06",{"name":5,"class":6},1]