Impact of Artificial Intelligence-based Patient Reinforcement on Quality of Colonoscopy

In order to improve bowel preparation for colonoscopy and consequently enhance detection rate of malignant and premalignant findings, a prospective, randomized and controlled three-arm study was developed. Patients who undergo ambulatory colonoscopy are randomly assigned into a control group with standard preparation, a phone call supported preparation group or a group supported by an artificial intelligence based chatbot. Primary endpoint is defined as quality of bowel preparation (Boston Bowel Preparation Score), secondary endpoints are patients satisfaction, comprehensiveness of bowel preparation, sedation dose, rate of coecal intubation and the rate of adenoma and polyp detection, anxiety referred to colonoscopy and patients satisfaction with preparation support.