AI-assisted colonoscopy for polyp detection
Official title: To Evaluate the Effectiveness and Safety of an Artificial Intelligence-assisted System in Colonoscopy in a Real-world Obsevational Multicenter Study
Run by Renmin Hospital of Wuhan University · NCT06406062 · Data updated 2026-11-12
This study tests whether using artificial intelligence during colonoscopy can help doctors find more polyps in patients getting screened or followed up for colon health.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 50 Years and up |
| Sex | All |
| Enrollment | 7500 (estimated) |
| Sponsor | Renmin Hospital of Wuhan University Academic / other |
| Locations | 1 site (Wuhan, Hubei) |
| Status | Recruiting |
| Started | May 20, 2024 |
| Main results expected | December 30, 2025 |
| Study ends | December 30, 2025 |
| Registry record updated | April 13, 2025 |
| Trial ID | NCT06406062 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are individuals over 50 years old who require a diagnostic, screening, or follow-up colonoscopy.
✕Probably not a fit
Patients with known polyposis syndrome, inflammatory bowel disease, or those deemed unsuitable for colonoscopy 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 study evaluates the effectiveness of an artificial intelligence system in improving the detection rates of adenomas during colonoscopy. It compares polyp detection and adenoma detection rates in multiple centers using AI-assisted colonoscopy versus traditional methods. The study is observational and aims to gather real-world data on the performance of AI in enhancing colonoscopy quality control and polyp detection. Participants will undergo diagnostic, screening, or follow-up colonoscopy as part of the study.
Why it matters
Potential benefit: If successful, this study could lead to improved detection rates of adenomas, potentially reducing the incidence of colorectal cancer.
How similar studies have gone: Other studies have shown promise in using AI for polyp detection, but the effectiveness of this specific approach remains to be conclusively demonstrated.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. age \> 50 years old; 2. required diagnostic colonoscopy, screening colonoscopy, or follow-up colonoscopy; 3. voluntarily sign informed consent; 4. Commitment to abide by the study procedures and cooperate with the implementation of the whole process of the study. Exclusion Criteria: 1. have participated in other clinical trials, signed informed consent and are in the follow-up period of other clinical trials; 2. known polyposis syndrome patients; 3. patients with known IBD; 4. patients considered by the investigators to be unsuitable or unable to undergo complete digestive endoscopy and related examinations; 5. high-risk diseases or other special conditions considered by the investigator to be unsuitable for clinical trial participation.
Where it's running
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Renmin Hospital of Wuhan Univercity
Wuhan, Hubei, China Recruiting
Study contacts
- Study coordinator: Honggang Yu, Doctor
- Email: wjlnsm@163.com
- Phone: 18771146096
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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.