Algorithm aims to take guesswork out of colonoscopy scheduling
NCT ID NCT07658716
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests whether a computer algorithm can help doctors give more accurate recommendations for when patients should have their next colonoscopy. Researchers will compare the algorithm's suggestions to traditional methods, looking at both accuracy and the time it takes to make a decision. The study involves 100 gastroenterologists and primary care doctors from two hospitals.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- colonoscopy surveillance recommendations algorithm
- What this could lead to
- If successful, this algorithm could help doctors make more accurate and faster decisions about when patients need a follow-up colonoscopy, potentially improving care and saving healthcare costs.
- What could go wrong
- This is a small, early-stage study with only 100 participants, all from two hospitals, so results may not apply broadly. The algorithm may not improve accuracy or efficiency in real-world practice.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
NYU Langone Health
RECRUITINGNew York, New York, 10016, United States
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