Location: United States
EyeStar can screen for diabetic retinopathy in under a minute by using artificial intelligence to detect any signs of the condition.
Diabetic retinopathy is a complication of diabetes that damages blood vessels of the retina. If caught in the early stages, diabetic retinopathy can be controlled or prevented from getting worse. However, patients in the early stages may have very mild symptoms or no symptoms at all, making it difficult to catch in time. Symptoms may include seeing spots, blurred vision, distorted vision, or dull appearance of colours. If left untreated, it can lead to blindness
EyeStar is a screening system that can check for diabetic retinopathy without needing to dilate the patient’s pupils. Machine learning is used to analyse the scans and detect any signs. EyeStar produces a report in under a minute that includes detailed images of the patient’s eyes and a recommendation for a referral if any signs are detected.
When caught early enough, damage to the eyes can be mitigated with good blood sugar control. Diabetics need to have their eyes checked frequently to avoid permanent damage, but that can be costly and inaccessible to many. A system that can screen for the condition without the need for a specialist may enable more frequent assessments.