In this study, we established machine learning-derived radiomics models to determine the presence of EGFR, KRAS, ERBB2, and TP53 mutations in patients with NSCLC, based on radiomic features and combined with clinical factors. The gene discussed is KRAS; the disease is non-small cell lung carcinoma.