Health data that are publicly available are valuable resources for digital health research.
Several public datasets containing ophthalmological imaging have been frequently used in …

Diabetes is a global eye health issue. Given the rising in diabetes prevalence and ageing
population, this poses significant challenge to perform diabetic retinopathy (DR) screening …

Diabetic retinopathy is a frequent complication in diabetes and a leading cause of visual
impairment. Regular eye screening is imperative to detect sight-threatening stages of …

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 …

Progress in artificial intelligence and tele-ophthalmology for diabetic retinopathy screening,
including artificial intelligence applications in 'real-world settings' and cost-effectiveness …

Topic Diagnostic performance of deep learning–based algorithms in screening patients with
diabetes for diabetic retinopathy (DR). The algorithms were compared with the current gold …

In the presence of the ever-increasing incidence of diabetes mellitus (DM), the prevalence of
diabetic eye disease (DED) is also growing. Despite many improvements in diabetic care …

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 …

Diabetic retinopathy occurs due to long-term diabetes with changing blood glucose levels
and has become the most common cause of vision loss worldwide. It has become a severe …

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