Improving Polyp Detection Rate by Artificial Intelligence in Colonoscopy

Status Recruiting

Clinical Trial 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.

Clinical Trial 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. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT05322993
Study type	Interventional
Source	Haraldsplass Deaconess Hospital
Contact	Tom André Pedersen, MD
Phone	95812371
Email	tom_andre_pedersen@haraldsplass.no
Status	Recruiting
Phase	N/A
Start date	November 19, 2021
Completion date	December 31, 2024

View Details

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