The Singapore Eye LEsioN Analyzer, or SELENA (SELENA+) analyses retinal photographs using a Deep Learning System to detect 3 major eye conditions: • diabetic eye disease, • glaucoma and • age-related macular degeneration It’s developed by the National University of Singapore School of Computing and the Singapore Eye Research Institute, and powered by IHiS. Diabetic patients have retinal photographs taken once a year to detect signs of diabetic eye disease, a condition which can lead to blindness if not treated early. Patients undergo their usual eye scans at a clinic but instead of a human being assessing their scans, SELENA+ does the job. In studies conducted to date, the AI-powered image reader has proven to faster and as accurate compared to human graders. Over the next two years, as SELENA+ is deployed nationwide, patients will be able to receive their results in minutes as compared to the current wait of about a day.