The number of people with diabetes is skyrocketing, putting millions at risk of vision loss from diabetic retinopathy.

An AI diagnostic system that detects signs of diabetic retinopathy in retinal images
* Proven to be effective in real-world clinical workflows
* Results in less than a minute - no human grader
* Clinically validated with high sensitivity and specificity

Easy to use
* Minimal operator training needed
* Uses standard 2-image per eye protocol and accepts most image formats, including DICOM
* Designed with common output formats to directly interface with other medical software and health record systems

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