Current guidelines recommend that individuals with diabetes receive yearly eye exams for
detection of referable diabetic retinopathy (DR), one of the leading causes of new-onset …

Diabetic retinopathy (DR) is a leading cause of blindness globally. There is growing
evidence to support the use of artificial intelligence (AI) in diabetic eye care, particularly for …

Background Diabetic retinopathy is a leading cause of preventable blindness, especially in
low-income and middle-income countries (LMICs). Deep-learning systems have the …

Background The triglyceride-glucose index (TyG index) has been proposed as a simple and
reliable alternative insulin resistance (IR) marker, while the homeostasis model assessment …

This study investigated the diagnostic performance, feasibility, and end-user experiences of
an artificial intelligence (AI)-assisted diabetic retinopathy (DR) screening model in real-world …

Purpose This trial was designed to determine if artificial intelligence (AI)-supported diabetic
retinopathy (DR) screening improved referral uptake in Rwanda. Design The Rwanda …

Diabetic retinopathy (DR), a leading cause of preventable blindness, is expected to remain a
growing health burden worldwide. Screening to detect early sight-threatening lesions of DR …

Independent validation studies of automatic diabetic retinopathy screening systems have
recently shown a drop of screening performance on external data. Beyond diabetic …

Diabetic retinopathy (DR) is an important cause of blindness globally, and its prevalence is
increasing. Early detection and intervention can help change the outcomes of the disease …

Background Glycemic variability plays an important role in the development of
cardiovascular disease (CVD). This study aims to determine whether long-term visit-to-visit …