Retinal diseases are a leading cause of blindness in developed countries, accounting for
the largest share of visually impaired children, working-age adults (inherited retinal …

Retinal diseases affect an increasing number of patients worldwide because of the aging
population. Request for diagnostic imaging in ophthalmology is ramping up, while the …

Ophthalmology is currently in a stage between the demonstration of the potential of artificial
intelligence and widespread deployment. Next stages include aggregating and curating …

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

Major advances in diagnostic technologies are offering unprecedented insight into the
condition of the retina and beyond ocular disease. Digital images providing millions of …

Artificial intelligence (AI), with its subdivisions (machine and deep learning), is a new branch
of computer science that has shown impressive results across a variety of domains. The …

Introduction The steadily growing and aging world population, in conjunction with
continuously increasing prevalences of vision-threatening retinal diseases, is placing an …

Artificial intelligence (AI) is a branch of computer science that aims to enable computers to
perform human-like tasks. Although AI is a broad discipline, machine learning is a specific …

Modern advances in diagnostic technologies offer the potential for unprecedented insight
into ophthalmic conditions relating to the retina. We discuss the current landscape of artificial …

Artificial intelligence has rapidly evolved from the experimental phase to the implementation
phase in many image-driven clinical disciplines, including ophthalmology. A combination of …