Clinical Trial

Colonoscopy TRaining With or Without Artificial INtelligence Among Endoscopy Residents

Study acronym: c-TRAINER
Recruiting
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Summary
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.
Trial Details
NCT Number NCT07420309
Lead Sponsor University of Thessaly
Conditions Colonoscopy Training
Enrollment 10 participants
Start Date 2026-02-01
Primary Completion 2027-03-01 (estimated)
Study Completion 2027-07-01 (estimated)
Updated on ClinicalTrials.gov 2026-02-19