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Algorithm aims to take guesswork out of colonoscopy scheduling

NCT ID NCT07658716

Knowledge-focused Sponsor: NYU Langone Health Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 100 people

The number the study aims to enrol. It can still change while the study runs.

Started

Mar 2026

Expected to finish

Mar 2028

An estimate. End dates often move.

Lead sponsor

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

Gastroenterologists and primary care physicians.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show 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: * Gastroenterologists and primary care physicians, including residents and fellows, currently practicing at NYU Langone Health, and Bellevue. * Willing and able to provide consent Exclusion Criteria: * Physicians not practicing in relevant fields or those with conflicts of interest.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Colonoscopy

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. 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.

Contacts and locations

Locations

  • NYU Langone Health

    RECRUITING

    New York, New York, 10016, United States

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