[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100611631":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":7,"centralContacts":8,"locations":7,"responsibleParty":14,"collaborators":16,"id":23,"slug":24,"hasResults":25,"nctId":26,"briefTitle":27,"officialTitle":28,"acronym":7,"eligibilityCriteria":29,"healthyVolunteers":25,"sex":30,"minAge":31,"maxAge":32,"enrollmentInfo":33,"targetDuration":7,"studyType":36,"phases":7,"briefSummary":37,"conditions":38,"keywords":7,"overallStatus":42,"whyStopped":7,"lastUpdateSubmitDate":43,"lastUpdatePostDateStruct":44,"startDateStruct":47,"completionDateStruct":49,"leadSponsor":51,"locationsCount":7},{"fullName":5,"class":6},"Glimpse Diagnostics, Inc.","INDUSTRY",null,[9],{"name":10,"role":11,"phone":12,"phoneExt":7,"email":13},"Courtney Hill, MD","CONTACT","612-404-0251","courtney@glimpsediagnostics.com",{"type":15,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR",[17,20],{"name":18,"class":19},"National Institute for Biomedical Imaging and Bioengineering (NIBIB)","NIH",{"name":21,"class":22},"Clinical Research Strategies","UNKNOWN","100611631","validating-and-ai-software-for-assessment-of-children-with-ear-concerns-100611631",false,"NCT07243093","Validating and AI Software for Assessment of Children With Ear Concerns","Validating a Deep Learning Algorithm in Children With Ear Concerns","Inclusion Criteria:\n\n* Males and females aged 6 months to 6 years\n* Presenting to a pediatrician's office or urgent care with signs and symptoms of otitis media, including tugging at ears, ear pain, crying at night, refusing to lie flat, sleeping poorly, having a fever, having decreased appetite, and\u002For concern for hearing loss, regardless of previous diagnosis of AOM or OME.\n\nExclusion Criteria:\n\n* History of craniofacial abnormality\n* PE tubes currently in place\n* Current otorrhea\n* Caretaker not having use of both hands and arms","ALL","6 Months","6 Years",{"count":34,"type":35},658,"ESTIMATED","OBSERVATIONAL","The goal of this observational study is to determine if the Glimpse machine learning algorithm can accurately assess ear diseases in children. Participants will:\n\n* Have a video of their ear taken by their parent or their guardian\n* Have a video of their ear taken by a Primary Care Physician (PCP)\n* Have an assessment of their eardrums and a video of their ears taken by an Ear, Nose, and Throat specialist (ENT).\n\nThe videos will be used to determine if the Glimpse algorithm matches the diagnosis of the physicians.",[39,40,41],"Otalgia","Otitis Media","Otitis Media Effusion","NOT_YET_RECRUITING","2025-11-17",{"date":45,"type":46},"2025-11-21","ACTUAL",{"date":48,"type":35},"2026-01",{"date":50,"type":35},"2027-07",{"name":5,"class":6}]