Yamamoto et al. utilized deep autoencoders29 to extract key features that were then fed into a second machine learning model (regression and support vector machine30) to predict the BCR status for PCa at fixed follow-up time points (Year 1 and 5)31. Here, BCR is linked to posterior cortical atrophy.