Improving Polyp Detection Rate by Artificial Intelligence in Colonoscopy

  • End date
    Dec 31, 2023
  • participants needed
  • sponsor
    Haraldsplass Deaconess Hospital
Updated on 12 May 2022
Accepts healthy volunteers


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.


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.

Condition Colonic Polyp
Treatment GI Genius, Standard white light colonoscope
Clinical Study IdentifierNCT05322993
SponsorHaraldsplass Deaconess Hospital
Last Modified on12 May 2022


Yes No Not Sure

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
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