Using artificial intelligence to improve colonoscopy detection rates

Artificial Intelligence in Endoscopic Diagnosis of Colorectal Polyps: A Prospective Randomized Study.

Not applicable Interventional Jagiellonian University · NCT06786793

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

PhaseNot applicable
Study typeInterventional
Enrollment630 (estimated)
Ages50 Years to 65 Years
SexAll
SponsorJagiellonian University Academic / other
Locations2 sites (Krakow, Lesser Poladn and 1 other locations)
Trial IDNCT06786793 on ClinicalTrials.gov

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.

Who should consider this trial

Good fit: Ideal candidates for this study are individuals aged 50 to 65 years who are scheduled for an outpatient colonoscopy.

Not a fit: Patients with a history of colorectal surgery or certain gastrointestinal conditions may not benefit from this study.

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 performed: 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.

Eligibility criteria

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 this trial is running

Krakow, Lesser Poladn and 1 other locations

Study contacts

How to participate

  1. Review the eligibility criteria above with your treating physician.
  2. Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
  3. Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions Quality Indicators, Health CareArtificial IntelligenceColonoscopy Diagnostic Techniques and ProceduresQuality IndicatiorsColonoscopyComputer-aided DetectionAdenoma detection rate
Last reviewed 2026-06-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.