Artificial intelligence-based algorithm screens for diabetic retinopathy

A novel artificial intelligence-based algorithm proved effective as a tool to automate screening for diabetic retinopathy, according to a study. Deep learning methods were used to process 75,137 color fundus images of patients with diabetes obtained from the EyePACS public data set. The artificial intelligence model was trained and tested to detect and differentiate the features of healthy eye fundi from eye fundi with DR.

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