Radiogenomics explores the relationship between imaging features and gene expression patterns using radiomics, which is non-invasive and can present the overall information of tumors. The application of radiomics, somewhat effective in predicting gene mutations in non-small cell lung cancer (NSCLC), has recently become a research focus. Radiomic features, combined with conventional imaging, clinical and other features, can provide multi-directional information on tumors and play an increasingly important role in the prediction and precise treatment of NSCLC-driving gene phenotypes.