Lung cancer has high incidence in China. Faced with the lack of imaging physicians and the growing medical needs of large patient populations

the application of artificial intelligence technology in pulmonary nodules imaging can effectively balance current medical resources. This paper expounds the current situation of the development of artificial intelligence technology in pulmonary nodule imaging

discusses how to correctly treat this techonology the core elements and the faced challenges. It is pointed out that the artificial intelligence technology in lung nodule imaging has achieved initial success. The standardized image data training set and the multi-task model suitable for clinical scenes are the core elements of future product landing.