The AI algorithm for Diabetic Retinopathy detection

DESCRIPTION According to the International Diabetes Federation, over 537 million people are living with diabetes globally, which is growing at an alarming rate. Most of these people will develop some form of retinopathy, causing reduced vision or, in severe cases, blindness. We created a cloud-based medical solution to detect diabetic retinopathy using photographic images of the eye fundus through the ML\AI algorithm. Photographs can be taken anywhere – from optic retailers to pharmacies – by non-medical staff to be further uploaded to the system for diagnosis. CheckEye will make early detection of diabetic retinopathy and retinopathy prevention easily accessible. WHO BENEFITS? Patients: - reduced waiting time; - better cost efficiency; - timely treatment; - better vision for life. Eye health professionals: - more quality time with patients; - better performance results; - accurate diagnosis. Public health systems & insurance companies: - better access to screening; - more accurate screening results; - less financial burden; - less admin work for medical personnel.