(20) previously constructed a model using radiomics-extracted imaging features combined with two clinical risk factors to predict the efficacy of PD-1 inhibitors in gastric cancer patients, achieving an AUC of 0.865 in the training set and 0.778 in the internal validation set. The gene discussed is PDCD1; the disease is gastric cancer.