Oftalmoloji Klinik Uygulamalarında Yapay Zeka

Abstract

A large number of high-quality and repeated digital images in clinical applications of ophthalmology have allowed the development of artificial intelligence studies in ophthalmology at a global level. Artificial intelligence algorithms can be used to diagnose diseases, monitor progression, analyze images, and evaluate treatment effectiveness by using digital data led by direct photography, fundus photography and optical coherence tomography. These programs can be used to make quick and accurate decisions in clinical applications in all areas of ophthalmology, especially diabetic retinopathy, glaucoma and age-related macular degeneration. This review, it is aimed to reveal the current status of artificial intelligence in clinical applications of ophthalmology, its prevalence and potential difficulties in clinical practice.