AI boosts bowel cancer detection in tiny camera videos
NCT ID NCT06008847
First seen Mar 10, 2026 · Last updated Jun 23, 2026 · Updated 11 times
Summary
This study tested whether artificial intelligence (AI) could help doctors find polyps (small growths that can turn into cancer) in videos from a swallowed capsule camera. 720 adults who were already scheduled for a colon capsule endoscopy took part. The goal was to see if AI could make the reading faster and more accurate than standard review.
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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University Hospitals Coventry and Warwickshire
Coventry, Coventry, CV2 2DX, United Kingdom
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
Artificial intelligence software for analyzing capsule endoscopy videos
What this could lead to
If successful, this AI tool could make bowel cancer screening faster and more accurate, helping doctors find polyps more reliably.
What could go wrong
This is a completed study, but results are not yet published. The AI may not improve detection enough to change current practice, and it was tested only in people already selected for capsule endoscopy.
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.