Loeffler et al. have illustrated that deep learning possesses the capability to predict the mutation status of the fibroblast growth factor receptor 3 (FGFR3) directly from pathological images of bladder cancer, and they identified FGFR3 mutations with an AUC score of 0.701 [41]. Here, FGFR3 is linked to urinary bladder carcinoma.