Clinical Trials Logo

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


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

See also
  Status Clinical Trial Phase
Completed NCT03272945 - Linked-color Imaging for the Detection of Colorectal Flat Lesions N/A
Recruiting NCT06062095 - Computer Aided Diagnosis (CADx) for Colorectal Polyps Resect-and-Discard Strategy N/A
Not yet recruiting NCT02688699 - Additive Hemostatic Efficacy of EndoClot After EMR or ESD in the Gastrointestinal Tract Phase 4
Active, not recruiting NCT03962868 - Endoscopic Submucosal Dissection (ESD) Versus Endoscopic Mucosal Resection (EMR) for Large Non Pedunculated Colonic Adenomas: a Randomized Comparative Trial N/A
Not yet recruiting NCT05776381 - The Impact of a Patient Decision Aid on Treatment Choices for Patients With an Unexpected Malignant Colorectal Polyp Phase 2
Recruiting NCT04157803 - Accuracy of aCETIC Acid to Predict Histopathology of Colonic Polyps N/A
Completed NCT03758872 - CUFF-assisted Colonoscopy vs Standard Colonoscopy
Recruiting NCT05870332 - Nationwide Study of Artificial Intelligence in Adenoma Detection for Colonoscopy
Completed NCT03690297 - Linked Color Imaging (LCI) for Colorectal Adenoma Detection N/A
Recruiting NCT04149184 - Computer-aided Detection Device in Standard Colonoscopy N/A
Active, not recruiting NCT03865537 - Cold Snare Endoscopic Mucosal Resection Trial N/A
Recruiting NCT05099432 - The CARMA Technique Study N/A
Withdrawn NCT04778566 - Evaluating the Cologuard Test for Use in Lynch Syndrome
Withdrawn NCT01372696 - Endoscopic Characteristics of Colonic Tumours N/A
Completed NCT03121495 - Study on Second Forward View Examination in the Right Colon N/A
Completed NCT03344055 - Endocuff-assisted Colonoscopy vs Standard Colonoscopy on Adenoma Detection Rate N/A
Recruiting NCT06063720 - Effective Withdrawal Time and Adenoma Detection Rate
Completed NCT06426745 - Split-dose Versus Single-dose Bowel Preparation for Colonoscopy N/A
Recruiting NCT04220905 - Endoscopic Resection of Large Colorectal Polyps: An Observational Cohort Study
Completed NCT04693078 - Detection of Colonic Polyps Via a Large Scale Artificial Intelligence (AI) System N/A