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A Prospective Study on Diabetic Retinopathy Detection Based on a Modified Convolutional Neural Network Using Fundus Images at Sindh Institute of Ophthalmology & Visual Sciences
Authored by the Ophthalytics team and clinical partners
Published peer-reviewed research documenting the performance of our early deep-learning models on diabetic retinopathy detection using standard fundus imaging.
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Articles, research, and news from across our work in AI-powered eye care.
Bridging the Gap in Eye Care: How AI-Assisted Technology Enables Early Detection & Prevents Blindness
How AI-assisted retinal screening brings early detection to the front lines of care and helps prevent avoidable blindness.
Read more →A Prospective Study on Diabetic Retinopathy Detection Based on a Modified CNN Using Fundus Images
Peer-reviewed research documenting the performance of our early deep-learning models on diabetic retinopathy detection.
Read more →Medicare Advantage News: What the 2026 Payment Increase Means for Medical Practices
What the 2026 Medicare Advantage payment changes mean for practices investing in preventive eye screening.
Read more →Star Community Health Is Protecting Patients' Vision — One Routine Visit at a Time
How a community health network is closing the diabetic eye care gap through routine, in-clinic retinal screening.
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