A Comprehensive Review of Artificial Intelligence Applications in Major Retinal Conditions
It provides a comprehensive review for researchers in digital retinopathy, but it is incremental as it synthesizes existing literature without introducing new methods or data.
This paper systematically surveys retinal disease detection methods, covering both clinical and automated approaches from the past decade to evaluate algorithms for identifying structural abnormalities and diagnosing conditions, with a focus on early detection for effective treatment.
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.