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Spectral-domain optical coherence tomography uses light to image layers of the retina. Many scans taken over five years were analyzed using deep learning, a type of artificial intelligence in which imaging data are fed into an algorithm that learns how to detect patterns. Six retinal layers were segmented and analyzed for changes in thickness.