Edouard Colas

Ophthalmologist at the 15-20 ("Quinze-Vingts") French National Ophtalmic Center in Paris, France. Fellow of the European Board of Ophthalmology, he received the MD degree from Pierre et Marie Curie Paris University in 2013. He is specialized in medical and surgical retinal diseases, trains ophthalmology residents and has participated in several books and scientific papers. He is also the ophtalmology expert of MeltingDoc, the first app which connects French doctors and helps them solve complex medical cases.

Consider this: about 60 million people in Europe have diabetes. Out of those who have it for more than 20 years, 75% will develop some form of diabetic retinopathy (DR). It’s a startling statistic. Early detection of DR can prevent blindness, which is why people with diabetes should be tested every year. But because so many people have diabetes – and the numbers are rising – screening everyone for this debilitating eye disease is a huge challenge. For one thing, we do not have enough ophthalmologists to check the millions of eyes at risk of DR. And even if we did, the cost would be significant. New approaches are urgently needed. Fortunately, there is a solution on the horizon. By combining sophisticated cameras with artificial intelligence (AI), we can make diabetic retinopathy screening more efficient and cheaper – helping to deal with the growing demand for this crucial service. ‘Deep learning’ is a powerful kind of AI that can detect specific features in an image of the eye with high sensitivity. It allows health professionals to diagnose the stages of retinopathy in milliseconds. At DreamUp Vision, we are using this technology as a SaaS platform, as well as integrating it into a fundus camera – the kind of camera that ophthalmologists use to scan the eye. The technology is so flexible that any healthcare professional could scan a patient’s eye and get an immediate answer if the patient has signs of the disease or not. This could go a long way to addressing the shortage of ophthalmologists, while bringing expert care to people who do not live near specialist health centres. Learn by doing The incredible thing about this kind of AI is that it learns : the more eye scans it sees, the more accurate it becomes. We are...