Researchers from the Byers Eye Institute at Stanford University have discovered a way to use artificial intelligence to fight condition of diabetes that affects the eyes.
Researchers used deep-learning methods to create an automated algorithm to detect diabetic retinopathy. Diabetic retinopathy (DR) is a condition that damages the blood vessels at the back of the eye and later cause blindness.
Artificial intelligence-based grading algorithm can be used to identify, with high reliability, which patients should go for treatments.
Dr. Leng and his colleagues created an algorithm based on more than 75,000 images from a wide range of patients from different ethnicities, and then used it to teach a computer to identify healthy patients and those that need treatment.
Dr. Leng's algorithm could identify all disease stages with an accuracy rate of 94 percent. Opthalmologist diagnose
the presence and severity of diabetic retinopathy by direct examination of the back of the eye.
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