Using AI and Endocuff Vision to Improve Colonoscopy Results
Official title: Comparison of The Adenoma Detection Rate Between Artificial Intelligence-assisted Colonoscopy With or Without Endocuff Vision and Standard Colonscopy: A Randomized Controlled Study
Run by E-DA Hospital · NCT05863208 · Data updated 2026-11-12
This study is testing if using artificial intelligence with a special tool called Endocuff can help doctors find more polyps during colonoscopy in adults over 20.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 40 Years and up |
| Sex | All |
| Enrollment | 1000 (estimated) |
| Sponsor | E-DA Hospital Academic / other |
| Locations | 1 site (Kaohsiung City) |
| Status | Recruiting |
| Started | May 2, 2023 |
| Main results expected | December 31, 2025 |
| Study ends | December 31, 2026 |
| Registry record updated | June 27, 2025 |
| Trial ID | NCT05863208 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults over 20 years old who are scheduled for outpatient sedative colonoscopy.
✕Probably not a fit
Patients with a history of inflammatory bowel disease, colorectal cancer, or other specified conditions may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This clinical trial aims to evaluate the effectiveness of combining artificial intelligence (AI) with Endocuff vision in improving the adenoma detection rate (ADR) during colonoscopy. It is a prospective, single-blinded, randomized controlled trial that compares three groups: one using AI with Endocuff vision, another using AI alone, and a third using standard colonoscopy techniques. Eligible participants are adults over 20 years old undergoing outpatient sedative colonoscopy, and the study will assess various parameters including polyp detection and bowel preparation quality. The goal is to determine if the combination of these technologies can enhance the quality of colonoscopy and reduce the risk of interval colorectal cancer.
Why it matters
Potential benefit: If successful, this approach could significantly improve the detection of adenomas during colonoscopy, potentially reducing the incidence of colorectal cancer.
How similar studies have gone: While the use of AI in colonoscopy is gaining traction, the specific combination of AI and Endocuff vision is a novel approach that has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: Patients over 20 years old are undergoing outpatient sedative colonoscopy in the E-Da Hospital, E-Da cancer Hospital and Chung Shan Medical University Hospital in Taiwan Exclusion Criteria: * A prior history of of inflammatory bowel disease, colorectal cancer, previous bowel resection, Peutz-Jeghers syndrome, familial adenomatous polyposis or other polyposis syndromes * Bleeding tendency * For scheduled endoscopic treatment
Where it's running
-
E-DA Hospital
Kaohsiung City, Taiwan Recruiting
Study contacts
- Study coordinator: Ying Nan Tsai, MD
- Email: littlepig9933@gmail.com
- Phone: +88676150022
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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3D versus 2D surveillance colonoscopy for finding adenomas
This trial tests whether 3D colonoscopy finds more adenomas than standard 2D colonoscopy in adults aged 40 and older who need surveillance colonoscopy after prior polypectomy.
-
Comparing two methods for detecting colorectal polyps during colonoscopy
This study is testing which method, Linked-color imaging or indigo carmine chromoendoscopy, is better at finding colorectal polyps during colonoscopy for people aged 45 to 85 who have had polyps before or have related symptoms.
-
Comparing standard and 3D colonoscopy for detecting adenomas in patients with positive fecal tests
This study is testing whether a new 3D colonoscopy method can find more adenomas in patients who have positive fecal tests compared to the standard colonoscopy.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.