Diabetic retinopathy detection now possible with Artificial Intelligence

Diabetic retinopathy detection now possible with Artificial Intelligence

Diabetic retinopathy is the fastest growing cause of blindness, with nearly 415 million diabetic patients at risk worldwide. All individuals with diabetes whether it is Type 1 or Type 2, need to undergo regular and repetitive annual retinal screening for early detection and timely treatment of diabetic retinopathy. If caught early, the disease can be treated otherwise, it can lead to irreversible blindness.

The best way to detect diabetic eye disease is to have a specialist examine images of the back of the eye and then grade them for disease presence and severity. Severity is determined by the type of lesions present, which are indicative of bleeding and fluid leakage in the eye. Interpreting these photographs requires specialized training,  unfortunately in many parts of the world, where diabetes is prevalent, medical specialists capable of detecting the disease are not available. This leads to many diabetic retinopathy cases going unnoticed, finally leading to loss of vision.

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