[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100651240":3},{"organization":4,"armGroups":7,"interventions":8,"overallOfficials":7,"centralContacts":13,"locations":19,"responsibleParty":34,"collaborators":7,"id":36,"slug":37,"hasResults":38,"nctId":39,"briefTitle":40,"officialTitle":41,"acronym":7,"eligibilityCriteria":42,"healthyVolunteers":43,"sex":44,"minAge":45,"maxAge":7,"enrollmentInfo":46,"targetDuration":7,"studyType":49,"phases":7,"briefSummary":50,"conditions":51,"keywords":7,"overallStatus":22,"whyStopped":7,"lastUpdateSubmitDate":53,"lastUpdatePostDateStruct":54,"startDateStruct":57,"completionDateStruct":59,"leadSponsor":61,"locationsCount":62},{"fullName":5,"class":6},"Democritus University of Thrace","OTHER",null,[9],{"type":10,"name":11,"description":12,"armGroupLabels":7,"otherNames":7},"DIAGNOSTIC_TEST","color fundus photograph","Color retinal fundus photographs will be acquired from:\n\nDigital non-mydriatic fundus cameras.",[14],{"name":15,"role":16,"phone":17,"phoneExt":7,"email":18},"Georgios Labiris","CONTACT","+302551030990","glampiri@med.duth.gr",[20],{"facility":21,"status":22,"city":23,"state":7,"zip":7,"country":24,"countryCode":25,"cosmosGeoPoint":26,"geoPoint":31,"contacts":32},"University Hospital of Alexandroupolis","RECRUITING","Alexandroupoli","Greece","GR",{"type":27,"coordinates":28},"Point",[29,30],25.87644,40.84995,{"lat":30,"lon":29},[33],{"name":15,"role":16,"phone":17,"phoneExt":7,"email":18},{"type":35,"investigatorFullName":15,"investigatorTitle":5,"investigatorAffiliation":5,"oldNameTitle":7,"oldOrganization":7},"PRINCIPAL_INVESTIGATOR","100651240","validation-of-the-artificial-intelligence-subsystem-of-the-ddart-medical-device-for-the-automated-detection-of-lesions-compatible-with-glaucoma-in-a-random-sample-of-retinal-fundus-photographs-100651240",false,"NCT07758569","Validation of the Artificial Intelligence Subsystem of the DDART Medical Device for the Automated Detection of Lesions Compatible With Glaucoma in a Random Sample of Retinal Fundus Photographs","Validation of the Artificial Intelligence Subsystem of the DDART Medical Device for the Automated Detection of Lesions Compatible With Glaucoma in a Random Sample of Retinal Fundus Photograph","Inclusion Criteria:\n\n* Age ≥18 years. Availability of a high-resolution color fundus photograph. Confirmed diagnosis established by a specialist.\n\nExclusion Criteria:\n\n* Poor-quality images. Coexisting ocular diseases that interfere with image interpretation.",true,"ALL","18 Years",{"count":47,"type":48},2000,"ESTIMATED","OBSERVATIONAL","Primary Objective\n\nTo validate the artificial intelligence subsystem of the DDART medical device for the automated detection of lesions compatible with glaucoma in a random sample of retinal fundus photographs.",[52],"Glaucoma","2026-08-06",{"date":55,"type":56},"2026-08-11","ACTUAL",{"date":58,"type":56},"2026-04-21",{"date":60,"type":48},"2027-04-19",{"name":5,"class":6},1]