The Role of Artificial Intelligence in Early Detection and Diagnosis of Retinal Diseases

Abstract

Retinal diseases, including diabetic retinopathy, age-related macular degeneration, and

glaucoma, are leading causes of vision loss worldwide. Early detection and diagnosis are

crucial for preventing irreversible vision impairment. Artificial Intelligence (AI) has emerged

as a promising tool for automating the identification and diagnosis of retinal diseases,

providing more accurate, timely, and accessible care. This paper explores the role of AI in the

early detection and diagnosis of retinal diseases, focusing on the application of deep learning

algorithms, image processing techniques, and machine learning models. The potential

benefits and challenges of incorporating AI into clinical practice, as well as its future

directions, are also discussed.