Despite several studies having been published on the role of AI for detecting pathological lymph nodes using annotated datasets, Öğülmüş et al. [35] aimed to create a deep learning model to predict lymph nodes’ involvement in intermediate and high-risk PCa patients using the [68Ga]Ga-PSMA-11 PET/CT images, radiomics features and clinical variables. This evidence concerns the gene FOLH1 and posterior cortical atrophy.