Lung cancer is the main cause of death of patients with malignant tumors in our country, which seriously threatens people's lives and health. Therefore, improving the levels of diagnosis, treatment and management of lung cancer is a major challenge for clinicians. Radiomics is to assist doctors in making accurate diagnosis through deeper analysis and prediction of image data information. In recent years, the application of radiomics in the field of lung tumors has been promoted. This article reviews the work process of radiomics, its application in the field of lung tumors, and the prospects and challenges in its clinical application.