Lung cancer is the leading cause of cancer-related deaths worldwide. In early, asymptomatic stages, curative treatment is possible, but the disease is often diagnosed too late. Lung cancer screening (LCS) using low-dose computed tomography (LDCT) helps to detect potentially malignant lesions in early stages and to reduce lung cancer mortality. The application of artificial intelligence (AI) algorithms enables amore precise analysis of LDCT scans. Ameta-analysis of eight LCS studies revealed astatistically significant 12% relative reduction in lung cancer mortality. Based on strong scientific evidence, arecommendation for astructured lung cancer screening program using LDCT for the high-risk population in Germany was issued. The holistic LCS program requires aclear definition of the high-risk population, individual risk assessment, qualified personnel for conducting and reading examinations, verification of all diagnostic and therapeutic steps, central documentation and quality assurance, as well as the integration of tobacco cessation programs.