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OpenTrials
Completed

NCT Number: NCT05322993

Improving Polyp Detection Rate by Artificial Intelligence in Colonoscopy

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.

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Key information

Conditions

Colonic Polyp Colonic Polyps Intestinal Polyps Pathological Conditions, Anatomical Pathological Conditions, Signs and Symptoms Polyps

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Haraldsplass Deaconess Hospital, Bergen, Vestland, Norway

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About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

GI Genius

Device

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

Standard white light colonoscope

Device

Standard colonoscopy.

Primary outcomes

  1. Polyp detection rate (PDR) with and without artificial intelligence (AI)

    Time frame: 18 months

    Evaluate the PDR with and without the use of GI Genus artificial intelligence

  2. PDR after the use of AI, is there a learning effect?

    Time frame: 18 months

    Evaluate if there is an improved PDR after the use of AI

Secondary outcomes

  1. Withdrawal time

    Time frame: 18 months

    To evaluate if the withdrawal time is influenced by the use of artificial intelligence

  2. Complications

    Time frame: 24 months

    To evaluate if there are more registered complications with the use of AI

Sponsors and collaborators

Lead sponsor

Haraldsplass Deaconess Hospital

Other

Collaborators

  • European Society of Gastrointestinal Endoscopy
  • Haukeland University Hospital
  • Kanalspesialistene AS

Registry information

Important dates

Study start
2021
Primary completion
2025
Study completion
2025
First posted
Apr 12, 2022
Registry last updated
Jan 22, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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