Develop a solution that
answers a medical need
Essential Innovative Ambitious
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to answer a medical need: replacing the current classification of diabetic retinopathy which is mainly based on outdated fundus photography and providing an insufficient prediction precision.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.
This work benefits from State aid managed by the National Research Agency under investment program for the Future bearing the reference ANR-18-RHUS-0008
During the upcoming ARVO meeting, two posters will be presented by the team working on the EVIRED project. This presentation will take place during the
The 1000th patient has been enrolled on the 14th December 2021. Since the beginning of the project, ten investigator sites in France have been
The EviRed Database 1 protocol has been approved by the Ethic Committee.
This work has been selected by the French National Research Agency as an investment program for the Future (reference ANR-18-RHUS-0008) and will benefits from state