Tundra Space

Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

Back to Studies
RECRUITING
NCT07420309
NA

Colonoscopy TRaining With or Without Artificial INtelligence Among Endoscopy Residents

Sponsor: University of Thessaly

View on ClinicalTrials.gov

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

Interventions

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

Locations (1)

General University Hospital of Larissa

Larissa, Greece