Using AI to improve bowel cancer detection with capsule endoscopy
Official title: Capsule Endoscopy Delivery at sCale Through Enhanced AI anaLysis Study
Run by University Hospitals Coventry and Warwickshire NHS Trust · NCT06008847 · Data updated 2026-05-14
This study is no longer in our active list. It may have stopped recruiting or finished. The details below are as of 2026-05-14 and are kept for reference. Check ClinicalTrials.gov for its current status, or see similar studies below.
This study is testing whether using Artificial Intelligence to analyze video from a tiny camera capsule can help doctors find polyps in the bowel more accurately for people undergoing standard bowel cancer screening.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 674 (estimated) |
| Sponsor | University Hospitals Coventry and Warwickshire NHS Trust Academic / other |
| Locations | 1 site (Coventry) |
| Trial ID | NCT06008847 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults aged 18 or over who are scheduled for colon capsule endoscopy as part of their standard care.
✕Probably not a fit
Patients who are unable to provide consent to participate in the study will not benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
The CESCAIL study evaluates the effectiveness of Artificial Intelligence (AI) in analyzing video footage from a minimally-invasive capsule endoscopy to enhance the detection of polyps in the bowel. Participants will continue their standard care without additional requirements, providing consent for their pseudonymized video and data to be utilized for AI testing. The final diagnosis will be determined solely by the clinician's standard analysis, ensuring that the AI analysis does not influence clinical decisions. This approach aims to improve the efficiency and accuracy of bowel cancer detection while minimizing risks associated with data exposure.
Why it matters
Potential benefit: If successful, this study could lead to more accurate and efficient detection of bowel cancer, potentially improving patient outcomes.
How similar studies have gone: Other studies have shown promise in using AI for medical imaging, suggesting potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Aged 18 or over * Patients who have been selected by overseeing clinician meeting NHS England criteria to undergo colon capsule endoscopy as part of their standard of care Exclusion Criteria: * Patients unable to provide consent to take part in the study
Where it's running
-
University Hospitals Coventry and Warwickshire
Coventry, United Kingdom 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.