Status:
COMPLETED
Detecting Eye Diseases Via Hybrid Deep Learning Algorithms From Fundus Images
Lead Sponsor:
Ural Telekomunikasyon Sanayi Ticaret Anonim Sirketi
Conditions:
Glaucoma
Age-Related Macular Degeneration
Eligibility:
All Genders
18+ years
Brief Summary
Eye health is of great importance for quality of life. Some eye diseases can progress and cause permanent damage up to vision loss if they are not treated early. Therefore, it is of great importance t...
Detailed Description
According to the World Health Organization's worldwide report published in 2020, at least 2.2 billion people worldwide currently have visual impairment, and at least 1 billion of them have a visual im...
Eligibility Criteria
Inclusion
- Must understand the study and sign informed consent. No history of retinal vascular disease, cataracts or any other disease that may affect the appearance of the retina or optic disc (refractive error and ocular surface disease are allowed).
- No history of intraocular surgery or ocular laser treatment for any retinal disease, other than cataract surgery.
- 18 years and over
Exclusion
- Not understand the study or informed consent, Media opacity or other defect that would prevent taking a fundus photograph with the feature to be evaluated (which could not be taken with a non-mydriatic fundus camera in 6 attempts or was rejected 6 times by the EyeCheckup quality algorithm due to quality), Has intraocular surgery other than cataracts or has had laser treatment on the retina, Contraindicated for imaging with the fundus imaging systems used in the study, Under 18 years
Key Trial Info
Start Date :
March 1 2023
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
April 18 2024
Estimated Enrollment :
1528 Patients enrolled
Trial Details
Trial ID
NCT06213896
Start Date
March 1 2023
End Date
April 18 2024
Last Update
May 14 2024
Active Locations (1)
Enter a location and click search to find clinical trials sorted by distance.
1
Akdeniz University Hospital
Antalya, Turkey (Türkiye), 07070