Using Artificial Intelligence to Detect a Disease
Floor Location : 020612
Diabetic retinopathy is an eye disease which affects many patients with long-term diabetes. Detecting the disease is a manual process which involves a trained clinician examining photographs of a patient’s retinas to look for signs of the disease. This project's purpose was to design an automated system for detecting the disease using photographs of a patient’s retinas and this was done using a neural network, a form of artificial intelligence. After training the neural network on thousands of retinal images, it was found that the network could accurately detect diabetic retinopathy in retinal images nearly 90% of the time.