Checks an AI tool that spots signs of glaucoma in eye photos
Tests an AI tool that looks for glaucoma signs in retinal photographs.
Plain-language title generated from the registry record
Registry 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 Photographs
Key facts
- Where
- Alexandroupoli, GreeceSee the site
Where in Greece
- University Hospital of AlexandroupolisAlexandroupoli, GreeceTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Democritus University of Thrace
- Trial code
- NCT07758569
- Record updated
- 11 August 2026
- Original description
Primary ObjectiveRead full original descriptionShow less
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
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.
Inclusion: Age ≥18 years. Availability of a high-resolution color fundus photograph. Confirmed diagnosis established by a specialist.
Exclusion: Poor-quality images. Coexisting ocular diseases that interfere with image interpretation.