Eye diseases can be very difficult to diagnose, especially those that are detectable only by a combination of specialized tests. The goal of this project is to develop a web-based software tool to help diagnose retinal disease “in the cloud.”
Past work on this project has investigated automated diagnosis methods. One approach includes an expert-driven algorithm that follows published data on features of ocular disease. Another algorithm is based on machine learning, which automatically creates a model from past patient data.
The present project will develop a cloud application for clinicians around the world. This includes designing an intuitive user interface front end, a robust and secure server back end.