Research progress on the application of artificial intelligence in colonoscopy

The global burden of colorectal diseases is steadily increasing, nderscoring the importance of early diagnosis, accurate assessment, and timely treatment. Despite being the standard for screening and diagnosis, traditional endoscopy faces limitations such as missed lesions and operator variability. With the rapid advancement of artificial intelligence (AI), automated image analysis has shown considerable promise in enhancing diagnostic accuracy, procedural quality, and treatment efficiency.” This review summarizes the current applications of AI in colonoscopy, covering areas such as bowel preparation, polyp detection and characterization, and inflammatory bowel disease management, highlighting the impact of these technologies on clinical practice, aiming to provide a reference for clinical practice and research.