Detecting Diabetes Retinopathy Through Machine Learning

Worldwide, diabetes is a chronic disorder that affects millions of people. One of the main complications of diabetes, diabetic retinopathy, can lead to blindness if left untreated. Diabetic retinopathy must be diagnosed and treated at an early stage in order to protect the eyes from long-term damage. In this paper, we analyze the most recent findings in the study of diabetes diagnosis based on retinopathy. We discuss the many imaging techniques for detecting retinopathy, such as fundus photography, optical coherence tomography, and fluorescein angiography. Furthermore, we explore the application of artificial intelligence and machine learning techniques for the automated diagnosis and classification of diabetic retinopathy.