The objectives of the included studies were to assess the ability of AI to do the following: reduce inter-reader variability (n = 2), detect suspicious lesions only (n = 3), detect suspicious lesions and classify them anatomically (n = 1), detect and quantify tumour burden (n = 1), differentiate bony metastasis from sclerotic bone lesion which has completely responded to treatment (n = 1), predict treatment response to 177Lu-PSMA (n = 1), quantify treatment response of metastatic disease and correlate to PSA (n = 1), extract prognostic biomarkers (n = 1). This evidence concerns the gene FOLH1 and metastatic neoplasm.