Diabetic retinopathy (DR) is a major reason of blindness around the world. The
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …

Artificial intelligence is widely applied to automate Diabetic retinopathy diagnosis. Diabetes-
related retinal vascular disease is one of the world's most common leading causes of …

In epidemiology, a risk factor is a variable associated with increased disease risk.
Understanding the role of risk factors is significant for develo** a strategy to improve …

Artificial intelligence plays an essential role in diagnosing lung cancer. Lung cancer is
notoriously difficult to diagnose until it has progressed to a late stage, making it a leading …

Diabetic retinopathy is the predominant cause of visual impairment in diabetes patients. The
early detection process can prevent diabetes patients from severe situations. The …

The rise of vision-threatening diabetic retinopathy (VTDR) underscores the imperative for
advanced and efficient early detection mechanisms. With the integration of the Internet of …

The integration of artificial intelligence (AI) in diagnosing diabetic retinopathy, a major
contributor to global vision impairment, is becoming increasingly pronounced. Notably, the …

Diabetic retinopathy (DR) is a diabetic ocular manifestation that leads to loss of visual
impairment and blindness in people worldwide. Detecting and diagnosing the DR remains a …

This investigation aimed to assess the effectiveness of different classification models in
diagnosing prostate cancer using a screening dataset obtained from the National Cancer …

Diabetes' serious complication, diabetic retinopathy (DR), which can potentially be life-
threatening, might result in vision loss in certain situations. Although it has no symptoms in …