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Improving Polyp Detection Rate by Artificial Intelligence in Colonoscopy

NCT05322993 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 5034

Last updated 2026-01-22

No results posted yet for this study

Summary

The aim of this study is to investigate if the use of artificial intelligence (AI) in colonoscopy improves the polyp detection rate, and if the use of AI has a learning effect.

Conditions

  • Colonic Polyp

Interventions

DEVICE

GI Genius

The use of artificial intelligence during colonoscopy to improve polyp detection.

DEVICE

Standard white light colonoscope

Standard colonoscopy.

Sponsors & Collaborators

  • Haukeland University Hospital

    collaborator OTHER

  • European Society of Gastrointestinal Endoscopy

    collaborator OTHER

  • Kanalspesialistene AS

    collaborator UNKNOWN

  • Haraldsplass Deaconess Hospital

    lead OTHER

Principal Investigators

  • Roald F. Havre, Professor · Helse Bergen

Study Design

Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
CROSSOVER

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-11-19
Primary Completion
2025-06-30
Completion
2025-06-30

Countries

  • Norway

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05322993 on ClinicalTrials.gov