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
Status: Recruiting
Location: See location...
Intervention Type: Diagnostic test
Study Type: Observational
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.
Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: t
View:
• Age ≥18 years. Availability of a high-resolution color fundus photograph. Confirmed diagnosis established by a specialist.
Locations
Other Locations
Greece
University Hospital of Alexandroupolis
RECRUITING
Alexandroupoli
Contact Information
Primary
Georgios Labiris
glampiri@med.duth.gr
+302551030990
Time Frame
Start Date: 2026-04-21
Estimated Completion Date: 2027-04-19
Participants
Target number of participants: 2000
Related Therapeutic Areas
Sponsors
Leads: Democritus University of Thrace