AI research at UWindsor shows promise for earlier detection of eye disease
First-year engineering students Saxon Vandenwollenberg (seated) and Sneha Chitte (standing) helped to develop custom artificial intelligence models to help detect diabetic retinopathy and presented their findings at the 37th IEEE International Conference on Microelectronics. (MIKE WILKINS/ University of Windsor)
By Lindsay Charlton
Researchers at the University of Windsor, including two first-year engineering students, have developed custom artificial intelligence models to help detect diabetic retinopathy — a leading cause of adult blindness — at earlier stages of the disease.
Their work compared four machine learning models, known as convolutional neural networks (CNNs), designed to analyze retinal images and identify patterns associated with the condition.