(57) provided a cross-sectional combination of 6 feature choices and 12 classifiers for multimodal imaging radiomics-based prediction of EGFR and KRAS mutation status in NSCLC patients, and the results showed that different combinations of features, classifiers and image settings had different diagnostic performance (AUCs ranged from 0.5 to 0.82). The gene discussed is EGFR; the disease is non-small cell lung carcinoma.