Improving Polyp Detection Rate by Artificial Intelligence in Colonoscopy
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
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.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Tom André Pedersen, MD
- Phone Number: +47 95812371
- Email: tom_andre_pedersen@haraldsplass.no
Study Contact Backup
- Name: Roald F. Havre, Professor
- Phone Number: +47 90842938
- Email: roald.flesland.havre@helse-bergen.no
Study Locations
-
-
Vestland
-
Bergen, Vestland, Norway, 5021
- Haukeland University Hospital
-
Bergen, Vestland, Norway, 5009
- Haraldsplass Deaconess Hospital
-
Bergen, Vestland, Norway, 5068
- Kanalspesialistene AS
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
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 Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Non-Randomized
- Interventional Model: Crossover Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Active Comparator: With artificial intelligence (AI)
Use of GI Genius artificial intelligence device during colonoscopy.
|
The use of artificial intelligence during colonoscopy to improve polyp detection.
|
|
Active Comparator: Without artificial intelligence
Use of standard colonoscopy equipment without GI Genius.
|
Standard colonoscopy.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
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
|
18 months
|
|
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
|
18 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Withdrawal time
Time Frame: 18 months
|
To evaluate if the withdrawal time is influenced by the use of artificial intelligence
|
18 months
|
|
Complications
Time Frame: 24 months
|
To evaluate if there are more registered complications with the use of AI
|
24 months
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Study Director: Roald F. Havre, Professor, Helse Bergen
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- REK 275068
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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