British Journal of Ophthalmology Publishes Strong EyeArt Accuracy Results
Summary
According to this independent research paper with authors from the Moorfields Eye Hospital NHS Foundation Trust, the University College London Institute of Ophthalmology, and the Homerton University Hospital NHS Foundation Trust, Eyenuk’s EyeArt AI Eye Screening System achieved 92%-100% sensitivity in diabetic retinopathy (DR) detection with multiple retinal imaging platforms. “We are equally excited to learn that the EyeArt System is shown to be accurate and highly sensitive when used to analyze EIDON images for diabetic retinopathy screening per the English NDESP protocol. True-color wide-field confocal scanning is a novel technology, and we are confident that EyeArt performance can be further optimized for this exciting imaging innovation.” The EyeArt AI Eye Screening System provides fully automated DR screening, including retinal imaging, DR grading on international standards and immediate reporting, in a single office visit during a diabetic patient’s regular exam. The EyeArt AI System has CE marking as a class 2a medical device in the European Union and a Health Canada license. It is designed to be General Data Protection Regulation (GDPR) and Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliant.