A year ago Google published a paper on ” Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs” at The Jama Network. It demonstrated that one of the main reasons for blindness is Diabetic Retinopathy (DR), a medicinal condition in which harm occurs to the retina because of diabetes.

Google Brain, the company’s AI team, has worked with specialists to enable them to analyse DR. The group has gathered more than 128,000 pictures that were each assessed by 3-7 ophthalmologists. These images were processed by a deep learning algorithm for making a model to recognise Diabetic Retinopathy. The execution of the calculation was tested on two distinctive datasets totalling to 12,000 images.

The use of Machine Learning (ML) in Diabetic Retinopathy is a leap forward in the fields of AI and health care. Robotized diagnosis of DR with higher exactness can help eye doctor’s facilities in evaluating more patients and prioritising the treatment. This innovation can fill the existing deficiency in ophthalmology divisions.