Artificial intelligence-Assisted colonoscopy
DeviceArtificial intelligence-Assisted colonoscopy for detection of colonic polyp
NCT Number: NCT04294355
This is a prospective multi-center randomized study is to determine whether the use of artificial intelligence (AI)-assistance could reduce the miss rates of polyps and adenomas in the proximal colon during tandem examination
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Notify Me40 year and older
All sexes
Interventional
Not applicable
Queen Mary Hospital, Hong Kong, China
Centers
Study population
Inclusion:
All adult patients, aged 40 or above, undergoing outpatient colonoscopy in the participating centers will be recruited.
Exclusion:
Post-randomization exclusion:
Study design This is a prospective randomized trial comparing the miss rates of proximal colonic lesions by AI assisted colonoscopy or conventional colonoscopy (Fig. 1). The study will be conducted in the Endoscopy Centre of the participating hospitals.
Randomization Eligible patients in each center will be randomly allocated in a 1:1 ratio to undergo tandem colonoscopy of the proximal colon first with AI-assistance and follow by conventional white light colonoscopy (Group 1) or conventional white light colonoscopy without AI assistance follow by conventional colonoscopy (Group 2). Proximal colon refers to colonic segment proximal to the splenic flexure. Randomization will be conducted in blocks of 4 by computer generated random sequences and stratified according to indications of colonoscopy (symptomatic vs screening/surveillance). Patients will be blinded to the group assignment.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Artificial intelligence-Assisted colonoscopy for detection of colonic polyp
Conventional colonoscopy
Time frame: One day
The proportion of patients with missed adenomas detected in the second examination only
Time frame: One day
The proportion of patients with missed adenomas detected in the second examination only
Time frame: One day
The proportion of patients with at least one adenoma
Time frame: One day
The proportion of patients with at least one polyp
The University of Hong Kong
Other
Artificial Intelligence-assisted Colonoscopy Versus Conventional Colonoscopy for Missed Lesions in the Proximal Colon: A Prospective Multi-center Randomized Study in Asia
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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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