Colonoscopy TRaining With or Without Artificial INtelligence Among Endoscopy Residents

Type of study: Randomized controlled study Investigated Procedure: Artificial Intelligence Software for Polyp Detection in Colonoscopy training Trial participants: Endoscopy trainees during their training with at least one year of training ahead and no previous structured exposure to CADe Objectives: Primary: Adenoma Miss Rate (AMR) in the end of the first year of training for each group and after the crossover. Secondary: Further endoscopists-related parameters will be recorded and compared between the two arms: PDR, ADR, aADR, PMR, withdrawal time, CIR, AEs The investigators will be asked, when possible, to follow-up the patients until they have their next colonoscopy or a diagnosis of CRC to assess for interval cancer.