Prediction of Retinopathy in Diabetic Affected Persons using Deep Learning algorithms

What is it about?

The worldwide incidence of diabetic retinopathy (DR) is increasing, and DR is still a major source of eyesight loss universally. Diabetic retinopathy is a small blood vessel side effect of type 2 diabetes. Diabetic retinopathy diagnosis is important for inhibiting blindness, but increasing diagnosis is difficult as there is vast increase in number of affected persons s effected with diabetes. Retinal diagnosis aids in the premature finding and cure of diabetic retinopathy. Appearing in many cases, DR is not diagnosed until there is threat to vision. Previous research has mainly focused on attempting to control one important threat factor, glucose level. Nearly 21% of new cases of type 2 diabetes affected persons s had a side effect of DR, while 70% of affected persons have prolonged history of diabetic retinopathy for 20 years were identified with diabetic retinopathy. To further enhance the diagnosis process, this research study has developed Deep DR, a technique that involves deep learning to diagnose all phases of diabetic retinopathy.

Featured Image

Why is it important?

The worldwide incidence of diabetic retinopathy is on the rise, reflecting the growing burden of diabetes globally. As more people are diagnosed with type 2 diabetes, the prevalence of diabetic retinopathy also increases, making it a major public health concern. Diabetic retinopathy is a leading cause of vision loss worldwide. Without timely diagnosis and intervention, individuals with diabetic retinopathy are at risk of experiencing significant visual impairment or even blindness, severely impacting their quality of life.

Perspectives

“

The increasing prevalence of diabetic retinopathy reflects the growing burden of diabetes and its associated complications on public health worldwide. As the number of individuals affected by diabetes continues to rise, so does the risk of diabetic retinopathy and vision impairment. Diabetic retinopathy often goes undiagnosed until it reaches an advanced stage, posing challenges for early intervention and treatment. Given the substantial increase in the number of people affected by diabetes, there is a pressing need for efficient and effective methods of diagnosing diabetic retinopathy to prevent vision loss.

”