Accordingly, Tian et al. conducted analyses on PD-L1 expression in 939 consecutive stage IIIB–IV NSCLC patients with baseline CT images and found that deep learning on computed tomography images could predict a high expression of PD-L1 (PD-L1 ≥50%), with an AUC of 0.78. This evidence concerns the gene CD274 and non-small cell lung carcinoma.