Improving Polyp Detection Rate by Artificial Intelligence in Colonoscopy


Report Abuse


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.

Targeted Conditions

Study Overview

Start Date
November 19, 2021
Completion Date
December 31, 2024
Date Posted
April 12, 2022
Accepts Healthy Volunteers?


Full Address
Haraldsplass Deaconess Hospital
Bergen, Vestland 5009, Norway

Haukeland University Hospital
Bergen, Vestland 5021, Norway

Kanalspesialistene AS
Bergen, Vestland 5068, Norway


Eligibility Criteria
Inclusion Criteria:

Patients coming to outpatient clinics to perform colonoscopies

Exclusion Criteria:

Total colectomy
Reservation against registration in Gastronet, the national quality register for colonoscopy in Norway

Study Contact Info

Study Contact Name
Tom André Pedersen, MD; Roald F. Havre, Professor
Study Contact Phone

Contact Listings Owner Form

Improving Polyp Detection Rate by Artificial Intelligence in Colonoscopy 0 reviews

Write Your Review

There are no reviews yet.

Write Your Review

Your email address will not be published. Required fields are marked *

Other Details

FDA Regulated Drug?
FDA Regulated Device?
Detailed Description
The endoscopists will use GI Genius from Medtronic, a device that uses artificial intelligence (AI) based on machine learning to detect polyps in the colon in real time during colonoscopy. The device interprets the endoscopy pictures and superimposes possible polyps with frames.

The patients will be included in regular outpatient clinics in Western Norway. The endoscopists will be divided into groups depending on their experience. The endoscopists will perform colonoscopies in three phases; (1) before the use of AI, (2) during the use of AI and (3) after the use of AI. The investigators will then evaluate the polyp detection rate (PDR) in the three phases to see if AI increases PDR, and if there is a learning effect on PDR after the use of AI. The investigators will also evaluate if there is a difference in the learning-effect from AI-use depending on if the endoscopist is experienced or inexperienced.

The PDR's are registered as part of Norway's national quality register of colonoscopy, Gastronet. The data registered in Gastronet can also help the investigators evaluate other outcomes such as withdrawal time, bowel preparation, patient reported pain, patient satisfaction and complications.
NCTid (if applicable)