IBM’s deep learning technology can detect and classify the severity of diabetic retinopathy with 86% accuracy, according to new research. The diagnostic tool could help doctors and physicians better understand disease progression and determine treatment, IBM said.
The company’s technology was trained to identify lesions using more than 35,000 eye images. It can classify the severity of disease across 5 levels: no diabetic retinopathy, mild, moderate, severe or proliferative diabetic retinopathy. The method combines deep learning, convolutional neural networks and dictionary-based learning to incorporate disease-specific pathologies.