Diabetic retinopathy (DR) is the leading cause of vision impairment in the global working‐
age population. In China, with one‐third of the world's diabetes population estimated at 141 …

Telemedicine, the use of telecommunication and information technology to deliver
healthcare remotely, has evolved beyond recognition since its inception in the 1970s …

Abstract Integrating Artificial Intelligence (AI) into telemedicine has emerged as a
groundbreaking approach, revolutionizing the delivery of healthcare services. AI, with its …

This study aimed to evaluate the image quality assessment (IQA) and quality criteria
employed in publicly available datasets for diabetic retinopathy (DR). A literature search …

Background Diabetic retinopathy (DR) is a leading cause of blindness. Our objective was to
evaluate the performance of an artificial intelligence (AI) system integrated into a handheld …

Diabetes mellitus (DM) predisposes patients to vascular complications. Retinal images and
vasculature reflect the body's micro-and macrovascular health. They can be used to …

The current study aimed to investigate diabetic retinopathy (DR) screening and treatment
coverages among diabetic patients evaluated through the Brazilian National Health …

Background. The aim of the present study was to determine the prevalence and incidence of
diabetic retinopathy (DR) and its changes in the last 20 years in type 2 diabetes mellitus …

Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global
interest in recent years. Deep Learning has been widely adopted in speech and image …

Importance Democratizing artificial intelligence (AI) enables model development by
clinicians with a lack of coding expertise, powerful computing resources, and large, well …