Deep Learning for Diabetic Eye Screening

deeplearningtopreventblindness

There is a lot of talk about the use of “deep learning” in the screening and identification of diabetic retinopathy (DR) lately. “Deep learning” is familiar to many in the tech industry, but is a relatively new concept in eye care. In very simple terms, deep learning is attempting to bring technology closer to artificial […]

Continue Reading »

Diabetic Retinopathy Screening

NEI_DR

It starts out small enough.  Your vision seems slightly blurred.  At first you just think it’s a sign of increasing age; you notice that reading text is a little harder.  But after a few months it seems to get worse.  Eventually you go to your doctor, and he refers you to an ophthalmologist.  After hearing […]

Continue Reading »

Large UK National Health Services (NHS) Study Finds Eyeart Device To Be The Most Sensitive Automated Retinal Image Analysis Technology For Diabetic Retinopathy Screening

WOODLAND HILLS, Calif. – May 2, 2016 – Eyenuk, Inc., developer of advanced retinal image analysis solutions to identify eye disease, today announced results from the first large-scale, independent, comparative study of automated diabetic retinopathy (DR) screening technologies, showing that its EyeArt™ software device rated highest among those tested in sensitivity across all types of […]

Continue Reading »