[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100637028":3},{"organization":4,"armGroups":7,"interventions":15,"overallOfficials":24,"centralContacts":28,"locations":34,"responsibleParty":52,"collaborators":10,"id":55,"slug":56,"hasResults":57,"nctId":58,"briefTitle":59,"officialTitle":59,"acronym":60,"eligibilityCriteria":61,"healthyVolunteers":57,"sex":62,"minAge":63,"maxAge":64,"enrollmentInfo":65,"targetDuration":10,"studyType":68,"phases":10,"briefSummary":69,"conditions":70,"keywords":73,"overallStatus":78,"whyStopped":10,"lastUpdateSubmitDate":79,"lastUpdatePostDateStruct":80,"startDateStruct":83,"completionDateStruct":85,"leadSponsor":87,"locationsCount":88},{"fullName":5,"class":6},"Cairo University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Patients with Unilateral Bell's Palsy",null,"Sixty-three patients of both sexes, aged 25-40 years, with a body mass index (BMI) less than 30 $kg\u002Fm\\^2$. Participants must be within one month of the onset of Bell's palsy symptoms and be able to follow verbal instructions during facial movement tasks.",[13,14],"Other: Sunnybrook Facial Grading System (FGS)","Other: AI-Based Facial Assessment",[16,20],{"type":6,"name":17,"description":18,"armGroupLabels":19,"otherNames":10},"Sunnybrook Facial Grading System (FGS)","Clinical grading of facial muscle paralysis based on resting symmetry, symmetry of voluntary movements, and synkinesis detection.",[9],{"type":6,"name":21,"description":22,"armGroupLabels":23,"otherNames":10},"AI-Based Facial Assessment","Real-time computer vision analysis using deep-learning-based landmark detection to track 468 facial points during standardized facial expressions.",[9],[25],{"name":26,"affiliation":5,"role":27},"Ali Noureldin Hassanein, B.Sc.","PRINCIPAL_INVESTIGATOR",[29],{"name":30,"role":31,"phone":32,"phoneExt":10,"email":33},"Ali Noureldin Hassanein, B.Sc., PT.","CONTACT","+201142154162","alionour22@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 Physical Therapy, Cairo University","Giza","Giza Governorate","12613","Egypt","EG",{"type":43,"coordinates":44},"Point",[45,46],31.20861,30.00944,{"lat":46,"lon":45},[49,51],{"name":26,"role":31,"phone":50,"phoneExt":10,"email":33},"01142154162",{"name":26,"role":27,"phone":10,"phoneExt":10,"email":10},{"type":27,"investigatorFullName":53,"investigatorTitle":54,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"Ali Noureldin Elsayed","Master's Degree Candidate, Faculty of Physical Therapy, Cairo University","100637028","validation-of-artificial-intelligence-based-facial-paralysis-assessment-in-patients-with-bells-palsy-100637028",false,"NCT07573358","Validation of Artificial Intelligence-Based Facial Paralysis Assessment in Patients With Bell's Palsy","AI-FACE","Inclusion Criteria:\n\n* Patients with unilateral Bell's palsy.\n* Patients must be within one month of onset of Bell's palsy symptoms at the time of enrollment.\n* Body mass index (BMI) less than 30 $kg\u002Fm\\^2$.\n* Patients must be cooperative and able to follow simple verbal instructions during facial movement tasks.\n\nExclusion Criteria:\n\n* Bilateral facial paralysis or recurrent Bell's palsy.\n* Facial nerve palsy due to known secondary causes (e.g., trauma, neoplasm, infection, stroke, Ramsay Hunt syndrome, or otitis media).\n* Facial deformities, scars, or burns that interfere with facial motion detection.\n* Uncooperative or cognitively impaired individuals unable to follow instructions or maintain required facial postures.","ALL","25 Years","40 Years",{"count":66,"type":67},63,"ESTIMATED","OBSERVATIONAL","This observational study aims to assess the concurrent validity of an artificial intelligence (AI)-based facial paralysis assessment system in patients with unilateral Bell's palsy. Currently, clinical assessment relies on subjective scales like the Sunnybrook Facial Grading System, which can vary between different observers. This study will compare AI-generated composite asymmetry scores-derived from real-time computer vision analysis of facial landmarks-with scores from the Sunnybrook system. The goal is to determine if AI can provide a valid, objective method for monitoring facial nerve recovery.",[71,72],"Bell's Palsy","Facial Nerve Paralysis",[74,75,76,77],"Facial Asymmetry","Artificial Intelligence","Sunnybrook Facial Grading System","Computer Vision","NOT_YET_RECRUITING","2026-05-01",{"date":81,"type":82},"2026-05-07","ACTUAL",{"date":84,"type":67},"2026-06-01",{"date":86,"type":67},"2026-12-01",{"name":5,"class":6},1]