Machine learning-derived 3D radiomics based on CT images can simultaneously identify the presence of EGFR, KRAS, ERBB2, and TP53 mutations in patients with NSCLC, which can sensitively determine EGFR mutation with a very low false-positive rate, and increase the certainty of determining the presence of KRAS, ERBB2, and TP53 mutations. Here, ERBB2 is linked to non-small cell lung carcinoma.