University Hospitals Coventry and Warwickshire
Coventry, CV2 2DX, United Kingdom
NCT Number: NCT06008847
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.
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Notify Me18 year and older
All sexes
Observational
Coventry, CV2 2DX, United Kingdom
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.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 11 months
Sensitivity and specificity of polyp detection in AI enabled CCE reporting
Time frame: 11 months
Time taken to read video by clinicians and AI tool
University Hospitals Coventry and Warwickshire NHS Trust
Other
Acronym: CESCAIL
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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