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

No results posted yet for this study

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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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06112691 on ClinicalTrials.gov