Using artificial intelligence to improve colonoscopy detection rates
Official title: Artificial Intelligence in Endoscopic Diagnosis of Colorectal Polyps: A Prospective Randomized Study.
Run by Jagiellonian University · NCT06786793 · Data updated 2026-11-12
This study is testing whether using artificial intelligence during colonoscopies can help doctors find more polyps and early signs of colorectal cancer in patients.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 50 Years to 65 Years |
| Sex | All |
| Enrollment | 630 (estimated) |
| Sponsor | Jagiellonian University Academic / other |
| Locations | 2 sites (Krakow, Lesser Poladn and 1 other locations) |
| Status | Recruiting |
| Started | November 1, 2024 |
| Main results expected | October 31, 2025 |
| Study ends | December 31, 2025 |
| Registry record updated | January 22, 2025 |
| Trial ID | NCT06786793 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are individuals aged 50 to 65 years who are scheduled for an outpatient colonoscopy.
✕Probably not a fit
Patients with a history of colorectal surgery or certain gastrointestinal 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 in enhancing the detection rates of polyps and early-stage colorectal cancer during colonoscopy. By utilizing computer-aided detection (CADe) systems, the research aims to standardize performance across various endoscopists and improve overall adenoma detection rates. The study focuses on patients scheduled for outpatient colonoscopy and aims to assess how AI can potentially reduce the incidence of colorectal cancer by improving the quality of endoscopic examinations.
Why it matters
Potential benefit: If successful, this approach could lead to earlier detection of colorectal cancer and improved patient outcomes.
How similar studies have gone: Other studies have shown promising results with the use of artificial intelligence in improving detection rates in colonoscopy, indicating a potential for success in this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Consent to participate in the study, * Age between 50 and 65 years, * Scheduled outpatient colonoscopy. Exclusion Criteria: * Previous colonoscopy, * History of colorectal surgery, * Ongoing biological therapy for any indication, * Primary sclerosing cholangitis, * Familial polyposis syndrome, * Chronic diarrhea, * Ulcerative colitis, * Crohn's disease.
Where it's running
-
MEDICINA Medical Center
Krakow, Lesser Poladn, Poland Recruiting -
Brothers Hospitallers Medical Center, Hospital of St John of god in Krakow
Krakow, Lesser Polasd, Poland Recruiting
Study contacts
- Principal investigator: Zofia Orzeszko, MD — Jagiellonian University in Krakow
- Study coordinator: Zofia Orzeszko, MD
- Email: z.orzeszko@bonifratrzy.krakow.pl
- Phone: +48123797145
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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.