Based on the forest plot analysis, which included 14 studies from 28 that reported ROC AUC confidence intervals, the pooled ROC AUC value for the performance of CT radiomics-based models for the prediction of the EGFR mutation status in NSCLC patients was 0.8, with a 95% CI of [0.757–0.845] indicating moderate-to-high prediction accuracy (Figure 4). The gene discussed is EGFR; the disease is non-small cell lung carcinoma.