There has been a recent surge in the number of publications centered on the use of artificial
intelligence (AI) to diagnose various systemic diseases. The Food and Drug Administration …

Artificial intelligence (AI) has expanded by finding applications in medical diagnosis for
clinical support systems [1]. The use of AI in ophthalmology is drawing enormous interest in …

Skin cancer is the most common type of cancer in the world and it is more treatable if
diagnosed early. The diagnosis process usually starts with segmenting the skin lesion area …

Diabetic Retinopathy (DR) is a disease caused by a high level of glucose in retina vessels.
This malicious disease put millions of people around the world at risk for vision loss each …

Over the past year, developments in AI have been made that have implications affecting
ophthalmic surgical training and refractive outcomes after cataract surgery, therapeutic …

Aims Computer-aided detection systems for retinal fluid could be beneficial for disease
monitoring and management by chronic age-related macular degeneration (AMD) and …

Diabetic macular edema (DME) is the primary cause of central vision impairment in patients
with diabetes and the leading cause of preventable blindness in working-age people. With …

Optical coherence tomography (OCT) is a non‐invasive optical imaging modality, which
provides rapid, high‐resolution and cross‐sectional morphology of macular area and optic …

Background Diabetic retinopathy (DR) and diabetic macular edema (DME) are major causes
of visual impairment that challenge global vision health. New strategies are needed to tackle …

The application of artificial intelligence (AI) in the field of ophthalmology has garnered
significant attention for its potential to enhance the accuracy of eye disease diagnosis. This …