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16 studies presented similar methods of automated bone age assessment from hand radiographs using neural networks. These CNNs are usually trained on large datasets and show very good performances with a discrepancy of only a couple of months compared to manual bone age assessment [30]. For example, Spamimpato et al. presented an algorithm with an average discrepancy between manual and automated age assessment of 0.8&nbsp