RecruitingNCT06879834
Assessing of Artificial Intelligence-based Software Platform for Diabetic Retinopathy Screening
Sponsor
The Filatov Institute of Eye Diseases and Tissue Therapy
Enrollment
200 participants
Start Date
Nov 2, 2024
Study Type
OBSERVATIONAL
Conditions
Summary
To examine the potential for the detection of diabetic retinopathy (DR) using the artificial intelligence (AI)-based software platform Retina-AI.
Eligibility
Min Age: 18 YearsMax Age: 90 Years
Inclusion Criteria4
- Documented diagnosis of diabetes mellitus by definition.
- Understanding of the Study and willingness and ability to sign informed consent
- Patient age 18 or above
- Diagnostic for diabetes: 4a) Type 1 diabetes of a lest 5 years of evolution; or 4b) Type 2 diabetes
Exclusion Criteria2
- Patients under 18 years of age; 2. Failure to give informed consent; 3. Presence of retinal diseases - acquired disease: age-related macular degeneration (AMD), occlusion of retinal vessels (ORV), etc.; birth defects: coloboma of choroid or optic nerve disc, etc.; hereditary diseases: retinitis pigmentosa, angioid streaks of the retina, etc.
- \. A patient who has already undergone treatment (surgery, laser, etc.) for any disease of the retina: age-related macular degeneration (AMD), retinal vascular occlusion (ARV), etc. These patients should be excluded or allocated to a separate group.
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Interventions
DEVICEtaking fundus photos using non-mydriatic fundus camera
using artificial intelligence to identify diabetic retinopathy in the early stages using fundus photography.
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT06879834
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