Sessile serrated lesion (SSL) is a major precancerous lesion type of colorectal cancer and one of the main causes of colorectal cancer. SSL has unique tissue structures and morphological features, with low detection rate under endoscopy and high variability in histopathological diagnosis, making it one of the most easily missed lesions in colorectal cancer screening. In recent years, the application of artificial intelligence (AI) in the diagnosis of colorectal cancer has been rapidly increasing. Previous studies have found that AI-assisted endoscopic technology can improve the detection rate and diagnostic accuracy of colorectal SSL, and AI-assisted pathological diagnosis can improve diagnostic efficiency and consistency. This article aims to provide a review of current research on AI technology in colorectal SSL.