Abstract: Abstract: The application of artificial intelligence in medicine is now attracting substantial attention. In the field of gastrointestinal endoscopy, computer-aided diagnosis (CAD) for colonoscopy is the most investigated area, although it is still in the preclinical phase. Colonoscopy is easily limited by the operator's experience, which affects the accuracy of the diagnosis. The application of CAD in colonoscopy can help operators overcome factors such as lack of experience and visual fatigue, improve the detection rate of colon polyps and reduce missed diagnosis. The application of CAD also can help to accurately determine the pathological type of polyps and distinguish tumorous lesions. In this paper, the research progress of CAD in colonoscopy is reviewed, and the application of this technology is prospected.

Key words: colonoscopy, diagnosis, computer-assisted, artificial intelligence, sensitivity and specificity, intestinal polyps