Using AI to improve polyp detection during colonoscopy
Official title: Comparative Analysis of AI Software and Conventional Colonoscopy for Enhanced Polyp Detection and Diagnosis: A Randomized Controlled Trial
Run by Sahlgrenska University Hospital · NCT06077435 · Data updated 2026-11-12
This study is testing if using artificial intelligence during colonoscopy can help doctors find more polyps in people over 50 and tell which ones are harmless or harmful.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 50 Years to 90 Years |
| Sex | All |
| Enrollment | 915 (estimated) |
| Sponsor | Sahlgrenska University Hospital Academic / other |
| Locations | 1 site (Gothenburg, Gothenbburg) |
| Status | Recruiting |
| Started | March 1, 2023 |
| Main results expected | March 1, 2026 |
| Study ends | June 1, 2026 |
| Registry record updated | November 24, 2025 |
| Trial ID | NCT06077435 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are patients over the age of 50 who are scheduled for elective colonoscopy.
✕Probably not a fit
Patients under 50 years of age or those requiring emergency examinations 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 enhancing the detection of colonic polyps during elective colonoscopy. Patients aged over 50 will be randomly assigned to receive either conventional endoscopy or AI-assisted endoscopy, where the AI system will identify and classify polyps during the procedure. The study aims to determine if AI can improve detection rates and differentiate between benign and malignant polyps. Data will be collected on patient demographics, examination findings, and the performance of the AI systems compared to traditional methods.
Why it matters
Potential benefit: If successful, this study could lead to improved detection of polyps, potentially reducing the risk of colorectal cancer in patients.
How similar studies have gone: Other studies have shown promising results with AI-assisted detection methods in similar contexts, indicating potential for success.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age \> 50 years * Elective colonoscopy Exclusion Criteria: * Patient declines to participate in the study. * Age \< 50 years * Unprepared bowel
Where it's running
-
Sahlgrenska University Hospital
Gothenburg, Gothenbburg, Sweden Recruiting
Study contacts
- Study coordinator: Jonas Varkey, MD, PhD
- Email: jonas.varkey@vgregion.se
- Phone: 0046764030388
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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.