This paper provides a systematic survey of retinal diseases that cause visual impairments or blindness, emphasizing the importance of early detection for effective treatment. It covers both clinical and automated approaches for detecting retinal disease, focusing on studies from the past decade. The survey evaluates various algorithms for identifying structural abnormalities and diagnosing retinal diseases, and it identifies future research directions based on a critical analysis of existing literature. This comprehensive study, which reviews both clinical and automated detection methods using different modalities, appears to be unique in its scope. Additionally, the survey serves as a helpful guide for researchers interested in digital retinopathy.
@article{arxiv.2311.13710,
title = {A Comprehensive Review of Artificial Intelligence Applications in Major Retinal Conditions},
author = {Hina Raja and Taimur Hassan and Bilal Hassan and Muhammad Usman Akram and Hira Raja and Alaa A Abd-alrazaq and Siamak Yousefi and Naoufel Werghi},
journal= {arXiv preprint arXiv:2311.13710},
year = {2023}
}