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In 2016, JAMA published research showcasing the success of a deep learning algorithm in replicating the grading decisions of ophthalmologists for diabetic retinopathy. The algorithm, a Convolutional Neural Network (CNN), can analyze and classify data, such as images distinguishing between dogs and cats regardless of size. CNNs are also useful in various medical tasks, like selecting cellular elements on slides and grading retinal images for diabetic retinopathy automatically, as mentioned by Dr. Peng.
