This finding accords with a study by Saini R et al.72, which reported that RF-based radiomics classifier achieved the best performance (AUC = 0.776) in predicting the Ki-67 expression level in NSCLC. The gene discussed is MKI67; the disease is non-small cell lung carcinoma.