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Colonoscopy TRaining With or Without Artificial INtelligence Among Endoscopy Residents
Sponsor: University of Thessaly
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.
Official title: Colonoscopy Training With or Without Artificial Intelligence Among Endoscopy Residents: a Randomized Controlled Study
Key Details
Gender
All
Age Range
Any - Any
Study Type
INTERVENTIONAL
Enrollment
10
Start Date
2026-02-01
Completion Date
2027-07-01
Last Updated
2026-02-19
Healthy Volunteers
Yes
Conditions
Interventions
Artificial Intelligence in colonoscopy
Training in colonoscopy with or without CADe
Conventional colonoscopy training
The trainees will be trained with the conventional colonoscopy for the study period
Locations (1)
General University Hospital of Larissa
Larissa, Greece