Lung cancer is a malignant tumor with the highest morbidity and mortality, which seriously threatens human health. It is important to improve the diagnosis and treatment efficiency of patients with lung cancer. Artificial intelligence technology provides novel promising strategies for the diagnosis and treatment of patients with lung cancer. Numerous studies have focused on the early screening, diagnosis, treatment and health management of lung tumor, and the development of computer-aided diagnosis system based on deep learning technology, and achieved remarkable results. In this paper, we systematically reviewed the progress of artificial intelligence technology in early screening based medical imaging, pathological diagnosis, prognostic evaluation, surgical navigation and immunotherapy of lung tumors. It is believed that artificial intelligence technology will bring new opportunities for the diagnosis and treatment of lung cancer, and improve the overall survival and quality of life of patients with lung cancer.