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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
Sponsor: Democritus University of Thrace
Summary
Primary Objective To 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.
Official title: 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
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
2000
Start Date
2026-04-21
Completion Date
2027-04-19
Last Updated
2026-08-11
Healthy Volunteers
Yes
Conditions
Interventions
color fundus photograph
Color retinal fundus photographs will be acquired from: Digital non-mydriatic fundus cameras.
Locations (1)
University Hospital of Alexandroupolis
Alexandroupoli, Greece