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Intelligent Evaluation of Diabetic Retinopathy

NCT04624737 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 3183

Last updated 2026-01-15

No results posted yet for this study

Summary

Brief Summary: The main objective of EviRed project is to develop and validate a system assisting the ophthalmologist by improving prediction of evolution, and decision making during diabetic retinopathy (DR) follow-up for a patient. It will replace the current classification of diabetic retinopathy (DR) which provides an insufficient prediction precision. It will use modern available fundus imaging devices and artificial intelligence (AI) to properly integrate the amount of data they provide with other medical data of the patient. A cohort of 5000 diabetic patients will be recruited and followed for an average of 2 years in order to collect data to train and validate the new prediction system.

An economic study will also be carried out.

Conditions

Interventions

DIAGNOSTIC_TEST

Diagnostic

Des images et des vidéos de la rétine des deux yeux seront acquises en utilisant différentes modalités d'imagerie, notamment la photographie grand champ, l'OCT et l'angiographie OCT. Toutes les images et les données seront collectées grâce à une plateforme commune et centralisées sur un serveur.

Sponsors & Collaborators

  • Assistance Publique - Hôpitaux de Paris

    lead OTHER

Study Design

Allocation
NON_RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-12-21
Primary Completion
2025-12-18
Completion
2025-12-18

Countries

  • France

Study Locations

More Related Trials

Entities

Diseases

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 NCT04624737 on ClinicalTrials.gov