ISSN: 2578-465X
Authors: Arif A and Srivastava P*
Artificial intelligence (AI) has contributed to healthcare, particularly in the field of ophthalmology. This article focuses on how AI has improved detection and diagnosis of common eye diseases such as diabetic retinopathy (DR) and age-related macular degeneration (AMD). With AI-based systems, healthcare professionals can now receive more accurate diagnoses faster and create personalized treatment plans. The article also explains how AI is used to detect eye diseases. This includes collecting data, selecting components, preparing data, training models, analyzing data, developing, and refining models, and making diagnoses. It highlights the advantages of using AI to detect subtle changes in retina, such as high accuracy, early detection, predictive abilities, personalised treatment plans, and remote monitoring. However, there are still challenges to employ AI in healthcare. These include ensuring that data utilized is of good quality, refining algorithms, ensuring that the models are easy to understand, and integrating AI with clinical practice. Everyone involved in healthcare must collaborate to ensure that AI can be utilized to help more people with vision problems globally.
Keywords: Artificial Intelligence; Ophthalmology; Diabetic Retinopathy (DR); Age-Related Macular Degeneration (AMD); Healthcare Revolution
