Clinical trial · Observational
Capsule Endoscopy Delivery at sCale Through Enhanced AI anaLysis Study
NCT06008847CI-TRIAL-00105045CESCAILcompletedClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The CESCAIL study tests the use of Artificial Intelligence (AI) on a video taken from a minimally-invasive imaging device, to improve efficiency and accuracy of the detection of polyps, which are little outgrowths within the lining of the bowel.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Bowel Cancer | Malignant Intestinal Neoplasm | ALIAS | 0.90 |
Interventions
Interventions (0)
Data not yet available
No intervention recorded.
Design
Arms and outcomes
Arms (1)
- label
- Lower Gastrointestinal Symptoms
- description
- Participant aged over 18 with referred lower gastrointestinal symptoms
Primary outcomes (2)
- measure
- Sensitivity and specificity of polyp detection in AI enabled CCE reporting
- timeFrame
- 11 months
- description
- Sensitivity and specificity of polyp detection in AI enabled CCE reporting
- measure
- Time taken to read video by clinicians and AI tool
- timeFrame
- 11 months
- description
- Time taken to read video by clinicians and AI tool
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
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
References
Publications (0)
Data not yet available
No reference posted for this study.