NCT07420309

Colonoscopy TRaining With or Without Artificial INtelligence Among Endoscopy Residents

Colonoscopy Training With or Without Artificial Intelligence Among Endoscopy Residents: a Randomized Controlled Study

• Status: Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 10 (estimated)
• Sponsor: University of Thessaly · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Accepted

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.

Conditions

• Colonoscopy Training

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Artificial Intelligence in colonoscopy	Training in colonoscopy with or without CADe
DIAGNOSTIC_TEST	Conventional colonoscopy training	The trainees will be trained with the conventional colonoscopy for the study period

Timeline

• Start date: 2026-02-01
• Primary completion: 2027-03-01
• Completion: 2027-07-01
• First posted: 2026-02-19
• Last updated: 2026-02-19

Locations

1 site across 1 country: Greece