Previously, several machine learning models built with selected radiomics features were used to discriminate ACP from PCP and to estimate the BRAF and CTNNB1 mutation statuses in craniopharyngioma [22,23,24] although the results were laborious, as they required radiomics features extracted from manual segmentation and a selection of appropriate features [25,26]. This evidence concerns the gene BRAF and pneumocystosis.