Ophthalmology has been one of the early adopters of artificial intelligence (AI) within the
medical field. Deep learning (DL), in particular, has garnered significant attention due to the …

Background: Generative artificial intelligence tools and applications (GenAI) are being
increasingly used in health care. Physicians, specialists, and other providers have started …

Artificial intelligence (AI), in particular deep learning (DL), has gained significant interest
recently from healthcare systems. DL has been widely applied to detect and classify major …

Generative adversarial networks in ophthalmology: what are t... : Current Opinion in
Ophthalmology Generative adversarial networks in ophthalmology: what are these and how can …

Accurate diabetic retinopathy (DR) grading is crucial for making the proper treatment plan to
reduce the damage caused by vision loss. This task is challenging due to the fact that the …

Background and Objective. Glaucomatous vision loss may be preceded by an enlargement
of the cup‐to‐disc ratio (CDR). We propose to develop and validate an artificial‐intelligence …

Deep learning (DL) represents a paradigm-shifting, burgeoning field of research with
emerging clinical applications in optometry. Unlike traditional programming, which relies on …

Background: Age-related macular degeneration (AMD) and diabetic retinopathy (DR) are
among the leading causes of blindness in the United States and other developed countries …

Introduction Age-related macular degeneration (AMD) is one of the leading causes of vision
impairment globally and early detection is crucial to prevent vision loss. However, the …

The diagnosis and treatment of medical retinal disease is now inseparable from retinal
imaging in all its multimodal incarnations. The purpose of this article is to present a selection …