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.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for COLONOSCOPY are added.
By submitting, you agree to our Terms of use
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.
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Electric pulses on the wrist may tame colonoscopy pain
- Can a plasma beam stop colon polyps from coming back?
- A simple blood draw could spot colorectal cancer early
- Can a dental floss loop make polyp removal faster?
- AI eye on polyps: could a computer match the microscope?
- AI chatbot may boost colonoscopy prep and ease nerves — trial puts it to the test