As the only blood vessels that can directly be seen in the whole body, pathological changes
in retinal vessels are related to the metabolic state of the whole body and many systems …

Introduction The steadily growing and aging world population, in conjunction with
continuously increasing prevalences of vision-threatening retinal diseases, is placing an …

Background Community-based telemedicine screening for diabetic retinopathy (DR) has
been highly recommended worldwide. However, evidence from low-and middle-income …

Artificial intelligence (AI) has emerged as a transformative tool in the field of ophthalmology,
revolutionizing disease diagnosis and management. This paper provides a comprehensive …

Thrombosis of retinal veins is one of the most common retinal vascular diseases that may
lead to vascular blindness. The latest epidemiological data leave no illusions that the …

The rapid development of computer science over the past few decades has led to
unprecedented progress in the field of artificial intelligence (AI). Its wide application in …

Visual impairments and blindness are major public health concerns globally. Effective eye
disease screening aided by artificial intelligence (AI) is a promising countermeasure …

Purpose To evaluate the diagnostic accuracy of artificial intelligence (AI)-based automated
diabetic retinopathy (DR) screening in real-world settings. Design Systematic review and …

Retrospective studies on artificial intelligence (AI) in screening for diabetic retinopathy (DR)
have shown promising results in addressing the mismatch between the capacity to …

Diabetic retinopathy (DR) is one of the most common retinal vascular diseases and one of
the main causes of blindness worldwide. Early detection and treatment can effectively delay …