Moreover, AI analysis of the dynamic changes in biomarkers such as CYFRA21–1, CEA, and NSE before, during, and after treatment, as well as during follow-up, can help establish survival models and databases for different lung cancer types, providing scientific evidence for intervention strategies at various stages of pulmonary nodule development [34]. The gene discussed is CEACAM5; the disease is lung cancer.