Since deep learning is a black-box prediction model that extracts salient features automatically by learning the abstract mapping between CT images and PD-1 states, we visualized the learned feature map during the inference process and the detecting regions in tumor images related to PD-1 status to evaluate the reliability of the prediction model. Here, PDCD1 is linked to neoplasm.