Clinical trial Recruiting at 1 site Observational Ages 18 and up

AI-assisted detection of glaucoma-related lesions in retinal photos

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

Run by Democritus University of Thrace · NCT07758569 · Data updated 2026-11-12

A device-powered AI system is being tested to see if it can automatically identify glaucoma-related lesions in retinal photos from adults.

More Glaucoma trials

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment2000 (estimated)
SponsorDemocritus University of Thrace
Academic / other
Locations1 site (Alexandroupoli)
StatusRecruiting
StartedApril 21, 2026
Main results expectedApril 19, 2027
Study endsApril 19, 2027
Registry record updatedAugust 11, 2026
Trial IDNCT07758569 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults 18 years and older with a high-resolution color fundus photograph and a specialist-confirmed diagnosis of glaucoma risk or presence.

Probably not a fit

Patients with low-quality images or eye conditions that obscure retinal features may not benefit from this AI tool.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to validate the AI subsystem of the DDART medical device for detecting glaucoma-compatible lesions in a random sample of color fundus photographs. Participants are adults with high-quality fundus images, and images with poor quality or comorbid eye diseases are excluded. The study analyzes the AI’s performance on existing images without assigning a treatment. No interventions beyond image capture are involved, and the setting is the University Hospital of Alexandroupolis under Democritus University of Thrace.

Why it matters

Potential benefit: If successful, the AI subsystem could help clinicians quickly flag glaucoma-related findings in retinal images.

How similar studies have gone: Previous studies have shown mixed but promising results for AI-assisted image analysis in ophthalmology.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Age ≥18 years. Availability of a high-resolution color fundus photograph. Confirmed diagnosis established by a specialist.

Exclusion Criteria:

* Poor-quality images. Coexisting ocular diseases that interfere with image interpretation.

Where it's running

  • University Hospital of Alexandroupolis
    Alexandroupoli, Greece
    Recruiting

Study contacts

Similar studies

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.