In addition, in a recent study, Mu et al. [33] developed a deep learning score predictive model (PDL1-DLS) based on [18F]FDG PET/CT to evaluate the expression status of PD-L1 in patients with NSCLC and a deep learning score predictive model (EGFR-DLS) to evaluate the mutation status of epidermal growth factor receptor (EGFR) in patients with NSCLC, which can help clinicians choose more suitable treatment modes of NSCLC patients in the treatment of ICI and targeted treatment represented by EGFR tyrosine kinase inhibitors (TKIs). The gene discussed is EGFR; the disease is non-small cell lung carcinoma.