We’re excited to share that EyeCheckup—our AI-powered retinal diagnostic system—has been featured in a peer-reviewed clinical study published in Nature Eye! The article “Head to head comparison of diagnostic performance of three non-mydriatic cameras for diabetic retinopathy screening with artificial intelligence” highlights EyeCheckup’s real-world performance in detecting sight-threatening retinal disease. Nature
In this landmark study conducted with 900 diabetic patients, EyeCheckup was used alongside several non-mydriatic fundus cameras to screen for more than mild diabetic retinopathy, vision-threatening diabetic retinopathy, and clinically significant diabetic macular oedema. Across all camera models tested, the combination of EyeCheckup’s AI and fundus imaging demonstrated high sensitivity and specificity, showcasing its power as an accurate and scalable screening tool. Nature
This publication in a leading ophthalmology journal underscores EyeCheckup’s potential to support early detection and timely referral—especially in populations where access to specialists is limited. Early diagnosis means earlier treatment and better prevention of vision loss for people with diabetes. Nature
EyeCheckup also visualizes all detected anomalies proving its explainable AI algorithm that can help make a more consistent diagnosis.
Read the full article here: Head to head comparison of diagnostic performance of three non‑mydriatic cameras for diabetic retinopathy screening
