Using artificial intelligence to improve detection of right-sided colon polyps
Official title: Efficacy of Artificial Intelligence in the Detection of Right Sided Colonic Polyp in Operators with Different Endoscopic Experience: a Randomized Control Trial
Run by Department of Medical Services Ministry of Public Health of Thailand · NCT05990218 · Data updated 2026-11-12
This study tests if using artificial intelligence during colonoscopy can help doctors find more right-sided colon polyps, especially for those with different levels of experience.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 40 Years to 80 Years |
| Sex | All |
| Enrollment | 240 (estimated) |
| Sponsor | Department of Medical Services Ministry of Public Health of Thailand Government |
| Locations | 1 site (Bangkok, Bangkok) |
| Status | Recruiting |
| Started | February 13, 2023 |
| Main results expected | February 12, 2026 |
| Study ends | February 28, 2026 |
| Registry record updated | December 13, 2024 |
| Trial ID | NCT05990218 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are individuals aged 40 to 80 years who are undergoing colonoscopy for polyp detection.
✕Probably not a fit
Patients with a history of colonic surgery, inflammatory bowel disease, 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 study evaluates the effectiveness of artificial intelligence (AI) in detecting right-sided colonic polyps during colonoscopy, particularly focusing on operators with varying levels of endoscopic experience. By employing a double insertion technique on the right side of the colon, the study aims to assess whether AI can enhance polyp detection rates. The research seeks to address the issue of missed polyps, which is a common challenge in colonoscopy procedures. Participants will undergo colonoscopy with AI assistance to determine its impact on detection accuracy.
Why it matters
Potential benefit: If successful, this study could significantly improve the detection rates of right-sided colon polyps, leading to better patient outcomes and reduced incidence of colorectal cancer.
How similar studies have gone: Other studies have shown promising results in using AI for polyp detection, suggesting that this approach may enhance diagnostic accuracy.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * participants age 40-80 years Exclusion Criteria: * History of colonic surgery (except appendectomy) * Lower gastrointestinal bleeding * unstable vital sign during endoscopy of pregnancy * history of inflammatory bowel disease, polyposis syndrome, colon cancer, colonic stricture, abnormal coaglulation, organ failure
Where it's running
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Rajavithi Hospital
Bangkok, Bangkok, Thailand Recruiting
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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.