An increasing number of artificial intelligence (AI) systems are being proposed in
ophthalmology, motivated by the variety and amount of clinical and imaging data, as well as …

The exponential increase in the number of diabetics around the world has led to an equally
large increase in the number of diabetic retinopathy (DR) cases which is one of the major …

The COVID-19 pandemic has resulted in massive disruptions within health care, both
directly as a result of the infectious disease outbreak, and indirectly because of public health …

Deep learning (DL) has been successfully applied to the diagnosis of ophthalmic diseases.
However, rare diseases are commonly neglected due to insufficient data. Here, we …

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

Background The ophthalmology field was among the first to adopt artificial intelligence (AI)
in medicine. The availability of digitized ocular images and substantial data have made …

Diabetes is a common chronic disease and a major public health problem approaching
epidemic proportions globally. People with diabetes are more likely to suffer from glaucoma …

Diabetes mellitus causes diabetic retinopathy (DR), which is the primary source of blindness
worldwide. Initial identification and cure are required to postpone or avert visual degradation …

Corneal opacities are important causes of blindness, and their major etiology is infectious
keratitis. Slit-lamp examinations are commonly used to determine the causative pathogen; …

Diabetic retinopathy (DR), a chronic disease in which the retina is damaged due to small
vessel damage caused by diabetes mellitus, is one of the leading causes of vision …