About this trial
Cancer can develop in the colon, or large bowel. Examination of the colon with a tube fitted with a camera is called a colonoscopy.
Colonoscopy allows detection of small growths in the colon, called "polyps". Polyps can often be removed during colonoscopy. Some of these polyps are called adenomas and can become cancer after several years.
A good colonoscopy aims to find and take out as many of these polyps as possible.
A quality indication of colonoscopy is the "adenoma detection rate" (ADR). It should be high, meaning many polyps are detected and taken out.
New artificial intelligence devices to assist colonoscopy seem to increase the ADR, and maybe help prevent cancer even better than normal colonoscopy.
The goal of this clinical trial is to compare the ADR when using standard colonoscopy to the ADR with artificial intelligence (AI)-assisted colonoscopy.
Eligibility criteria
Qualifiers
Patient (woman or man) candidate for a screening colonoscopy - Age: 45 to 74 years included
Absence of inflammatory bowel disease
Absence of significant digestive symptoms indicating colonoscopy (i.e. screening is the only indication for the examination)
Patient able to understand the concept of the study and agreeing to participate
Disqualifiers
Patient outside the inclusion age
All exclusion criteria for a colonoscopy.
The indication for colonoscopy is not simple screening; for example, assessment of anemia, rectal bleeding, weight loss or abdominal pain.
Patient's refusal to participate, or patient's inability to understand the study concept
Trial design
Treatments tested in this trial
- conventional colonoscopy procedure
- artificial intelligence-assisted colonoscopy procedure