The main finding of the present study suggest that a machine learning model based on radiomics features from routinely acquired structural MRI in combination with clinical parameters predicts the intracranial PD-L1 expression rate in NSCLC brain metastases with considerably high diagnostic accuracy. Here, CD274 is linked to non-small cell lung carcinoma.