Compared to the fully optimized XGBoost model, which provided an AUC of 0.75 for the prediction of high‐grade prostate cancer, CITRUS, Deep CNN or manual gating analysis of the PSMA‐ghrelin data set provided significantly lower AUCs of 0.59, 0.53 and 0.52 respectively (P < 0.05) (Fig. 4E). The gene discussed is GHRL; the disease is prostate cancer.