Implementing Image Recognition in Healthcare: Eye Disease

Abstract

The purpose of the research: This article explores the role of image recognition technologies in the diagnosis and treatment of eye diseases, emphasizing the advantages of using Artificial Intelligence (AI) in early detection and patient care. Eye diseases such as diabetic retinopathy, glaucoma, and macular degeneration can be better managed through AI-driven image recognition tools. A systematic review of AI-based image recognition systems in ophthalmology was conducted, demonstrating improved accuracy and efficiency in disease detection. The practical applications of AI in eye care, including clinical use cases and future potential, are discussed.