ARTIFICIAL INTELLIGENCE FOR MASS SCREENING OF THE DIABETIC RETINOPATHY IN THE CHERNIVTSI REGION (Pilot Study)
NCT06112691 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 660
Last updated 2023-11-01
Summary
The purpose of this study is to create a patient-centric environment for early detection of DR with AI-driven solutions.
Conditions
Interventions
- DEVICE
-
taking fundus photos using non-mydriatic fundus camera - FundusScope Rodenstock
using artificial intelligence to identify diabetic retinopathy in the early stages using fundus photography.
Sponsors & Collaborators
-
Komisarenko Institute of Endocrinology and Metobolism
collaborator OTHER_GOV -
CheckEye LLC
collaborator INDUSTRY -
The Filatov Institute of Eye Diseases and Tissue Therapy
lead OTHER
Principal Investigators
-
Andrii MD Korol, PhD · The Filatov Institute of Eye Diseases and Tissue Therapy
Eligibility
- Min Age
- 18 Years
- Max Age
- 90 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2022-02-01
- Primary Completion
- 2024-10-31
- Completion
- 2024-11-30
Countries
- Ukraine
Study Locations
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