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 …

Objectives This study aimed to systematically review recent health economic evaluations
(HEEs) of artificial intelligence (AI) applications in healthcare. The aim was to discuss …

Background Diabetic retinopathy (DR) has become a leading cause of global blindness as a
microvascular complication of diabetes. Regular screening of diabetic retinopathy is strongly …

Autonomous artificial intelligence (AI) for pediatric diabetic retinal disease (DRD) screening
has demonstrated safety, effectiveness, and the potential to enhance health equity and …

The effectiveness of using artificial intelligence (AI) systems to perform diabetic retinal
exams ('screening') on preventing vision loss is not known. We designed the Care Process …

Diabetic retinopathy (DR) is a major complication of diabetes mellitus and is a leading cause
of vision loss globally. A prompt and accurate diagnosis is crucial for ensuring favorable …

Diabetic retinal disease (DRD) is the leading cause of blindness among working-aged
individuals with diabetes. In the United States, underserved and minority populations are …

Abstract Purpose of Review Diabetic retinopathy (DR) is a microvascular complication of
diabetes mellitus and a major cause of vision loss worldwide. The purpose of this review is …

Diabetic retinopathy (DR), a vision-threatening microvascular complication of diabetes
mellitus (DM), is a leading cause of blindness worldwide that requires early detection and …

Background Systemic diseases, such as cardiovascular and cerebrovascular conditions,
pose significant global health challenges due to their high mortality rates. Early identification …