The detection and removal of precancerous polyps via colonoscopy can reduce the the risk of colon cancer. However, the detection rate of adenomatous polyps can vary significantly among endoscopists. EndoAngel is an artificial intelligence-based system,consisting of polyp detection and quality monitoring functions. The polyp detection function can remind endoscopists of the location of the polyp. The quality monitoring function can monitor the velocity of insertion of the endoscope, record the time of insertion and withdrawal of the endoscope, and remind endoscopists of the blind areas caused by intestinal segment slipping.This study aims to evaluate the two different functions of EndoAngle by 2 × 2 factorial design in improving adenoma detection rate and the quality of colonscopy .
An artificial intelligence-based system, named EndoAngel,has been constructed previously,which has polyp detection and quality monitoring functions. This study aims to evaluate the two different functions of EndoAngle in improving adenoma detection rate.