EviRed uses artificial intelligence to answer a medical need: replacing the current classification of diabetic retinopathy which is mainly based on outdated fundus photography and providing an insufficient prediction precision.
EviRed will use modern fundus imaging devices and artificial intelligence to properly integrate the vast amount of data they provide with other available medical data of the patient. It will then allow an improved diagnosis and prediction, and help ophthalmologists make a better decision during diabetic retinopathy follow-up. It should lead to critical progress in diabetic retinopathy management, a priority cause of blindness even in developed countries.

EviRed project leader,
until 19 April 2024

EviRed project leader


This work benefits from State aid managed by the National Research Agency under the investment program for the Future integrated to France 2030 bearing the reference ANR-18-RHUS-0008
Our latest
News

EviRed highlights in the ARVO and SFO 2025, main conferences for Ophthalmology and Research
The French ophthalmology community had 2 importants events in the last 2 weeks : First of all, some members of EviRed team attended the Association for

Deep Learning tools for evaluation of diabetic retinopathy and maculopathy »PhD thesis defended by Dr. H. Le Boite
On April 8th, 2025, Dr. Hugo Le Boité successfully defended his PhD thesis titled “Deep Learning tools for evaluation of diabetic retinopathy and maculopathy”. This

The Evired Team at « Retine en Pratique » in Paris on the 28th March 2025
Part of the Evired Team met during the 20th edition of the « Rétine en Pratique » congress organized in Paris on the 28th of March and

Celebrate the 5th anniversary of EviRed! 🎉
Today, we are delighted to celebrate an important milestone in our journey: the fifth anniversary of our project! Over the past five years, we have

Longitudinal and Multi-Modal Monitoring for Diabetic Retinopathy Detection Using Deep Learning” thesis Defense by Rachid Zeghlache
On December 12, 2024, Dr. Rachid Zeghlache successfully defended his PhD thesis titled “Longitudinal and Multi-Modal Monitoring for Diabetic Retinopathy Detection Using Deep Learning”. This

The Evired team was present at the “Retina and Diabete” organized by Pascale Massin and Catherine Creuzot Garcher
The 4th « Retine and Diabete » congress has been hold in Paris last Friday November 29th The whole day focused on latest developments as well future