Capsule Endoscopy Delivery at sCale Through Enhanced AI anaLysis Study
- Conditions
- Bowel Cancer
- Registration Number
- NCT06008847
- Brief Summary
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.
- Detailed Description
Participants will be continuing to follow their standard care pathway, and there are no additional requirements of the participants other than providing consent for their pseudonymised capsule video and data to be used to test the AI system.
The participant's final diagnosis will only be determined by the clinician's standard analysis pathway and not influenced by the AI enabled analysis pathway. All data is de-identified before a video is created and re-identified only once the standard final report is signed-off by the referring clinician. Therefore, the risk of patient harm due to exposed data is minimised.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 674
- 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
- Patients unable to provide consent to take part in the study
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Sensitivity and specificity of polyp detection in AI enabled CCE reporting 11 months Sensitivity and specificity of polyp detection in AI enabled CCE reporting
Time taken to read video by clinicians and AI tool 11 months Time taken to read video by clinicians and AI tool
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
University Hospitals Coventry and Warwickshire
🇬🇧Coventry, United Kingdom