AI could help predict colon cancer risk before a colonoscopy
NCT ID NCT07329816
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study will test whether a computer model can accurately predict the chance of finding precancerous colon polyps in 1,000 Indian adults undergoing a routine colonoscopy. The model uses basic health information like age, sex, and lifestyle factors. If it works well, it could help doctors decide who most needs a colonoscopy, saving time and resources.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a simple, low-cost tool to better identify who needs a colonoscopy, potentially catching more precancerous polyps early.
- What could go wrong
- This is an early validation study, not a treatment trial. The model may not perform well enough in real-world settings, and it won't directly improve health outcomes on its own.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 1,000 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Feb 2026
An estimate. Start dates often move.
- Expected to finish
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Mar 2027
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
1000
- Ages
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18 to 75 years
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Adults ≥18 years undergoing diagnostic colonoscopy. * Adequate bowel preparation (Boston Bowel Preparation Scale total ≥6 with each segment ≥2). * Complete examination (cecal intubation; withdrawal time ≥6 min when no therapy). * Availability of all model predictors per CRF. Exclusion Criteria: * • Known CRC or polyp, prior colectomy, polyposis syndromes, known IBD, or strong hereditary CRC syndromes (e.g., Lynch) if excluded in derivation. * Inadequate prep, incomplete colonoscopy, obstructing lesions preventing optical diagnosis beyond obstruction. * Emergency colonoscopies, therapeutic-only procedures without diagnostic intent.
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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- AI measures bowel cleanliness to boost polyp detection