The evaluation of retinal images using an algorithm based on deep machine learning can improve early detection and treatment of diabetic retinopathy, claims research. Adults with type 2 diabetes ...

this week released the results of new research using deep learning and visual analytics technology to advance early detection of diabetic retinopathy (DR) 1. The results, which classify the degree ...

(HealthDay)—A deep learning-enhanced device can accurately detect diabetic retinopathy (DR), according to a study published online Feb. 14 in Diabetes Care. For people with type 2 diabetes ...

It is a deep learning algorithm capable ... networks can be trained, using large data sets and without having to specify lesion-based features, to identify diabetic retinopathy or diabetic macular ...

The FDA has approved an artificial intelligence algorithm that ... assess whether patients with diabetes are at risk of vision loss. Early detection of diabetic retinopathy improves outcomes ...

Its aim was to use the technology to detect diabetic retinopathy (DR), a condition ... but only through using the deep learning system did it present a real problem, leading to ungradable images ...

A novel artificial intelligence-based algorithm proved effective as a tool to automate screening for diabetic retinopathy, according to a study. Deep learning methods were used to process 75,137 ...

Diabetes affects more than 101 million people in India today. The number is estimated to reach 125 million by the year 2045. There are several systemic health risks associated with diabetes, such ...