Colonoscopy Training With or Without Artificial Intelligence Among Endoscopy Residents: a Randomized Controlled Study
Colonoscopy Training With or Without Artificial Intelligence Among Endoscopy Residents: a Randomized Controlled Study
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.
Inclusion Criteria:
Recruited patient population: Adult patients undergoing diagnostic, screening, or surveillance colonoscopy will be included.
Exclusion Criteria:
Recruited patient population:
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