Artificial Intelligence in Diabetic Retinopathy-A Schematic Review

Abstract

Diabetes is a serious obstacle to the eye health of people all over the world. When it comes to performing tests for diabetic retinopathy (DR) in these individuals, there is a substantial problem that develops as a result of variables such as the rising prevalence of diabetes and the overall trend toward an older population.  Utilizing artificial intelligence (AI) in the realm of healthcare is an innovative domain that holds promise in enhancing population screening and potentially aiding physicians in reaching accurate diagnoses. Through the construction of intricate neural networks, which are formed by interconnecting neurons based on the provided data, and subsequently evaluating these connections against predetermined benchmarks, the field of computational biology exhibits the ability to discern patterns. That's a huge advance, definitely. The severity of diabetic retinopathy is a growing problem. If retinopathy, a disorder that might threaten eyesight, is caught and treated early on, it may pose less of a threat. Screening for this ailment may be time-consuming and labour-intensive, so any instrument that can speed up the procedure and reduce the need for specialist labour would be much appreciated by both patients and ophthalmologists. This article offers an up-to-date status report on the utilisation of AI to the treatment of diabetic retinopathy as well as a few other common retinal illnesses.