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Images digitally assessed with improved accuracy, increased speed, and at a lower cost.

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Images digitally assessed with improved accuracy, increased speed, and at a lower cost.

Images digitally assessed with improved accuracy, increased speed, and at a lower cost.

Diabetic Retinopathy (DR) is the leading cause of vision loss in adults. National screening programs are in place in Ireland (Diabetic RetinaScreen) and other geographies. This project aims to use Artificial Intelligence (AI) to digitally (computer vision) assess screened retina images for improved accuracy (reduce error rate), increased speed, and at a lower cost.

The solution, which was developed in conjunction with Intel, and with German research organisation fortiss, runs on a standard Windows 10 PC, uses Intel’s OpenVINO framework for AI and Intel’s USB Neural Compute Stick for AI acceleration.

The project achieved improved accuracy of retina image assessment (computer vision versus human vision) in the process to determine if Diabetic Retinopathy symptoms exist or not. Reduce the numbers of inaccurate (error) image readings.

Ultimately the computer vision capability can be incorporated into a Retina (fundus) camera and the assessment completed real-time. Thus, allowing a point of care assessment quickly and cheaply.