AI eye on polyps: new study tests smart system to catch colon cancer early

NCT ID NCT07073430

What the study statuses mean

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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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing an artificial intelligence system that helps doctors find precancerous polyps (called adenomas) in the colon during a colonoscopy. The AI analyzes images from a special scope to predict which polyps are dangerous. Researchers will enroll 4,000 adults to see if the AI can improve accuracy and explain its reasoning, making it more trustworthy for doctors.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
AI diagnostic model with magnifying endoscopy (NBI)
What this could lead to
If successful, this AI tool could help doctors more accurately identify precancerous polyps during colonoscopy, potentially reducing missed diagnoses and improving early detection.
What could go wrong
This is an observational study, not a treatment trial. The AI model is still being tested and may not perform as well in real-world settings or across different patient groups.

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 4,000 people

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

Started

Nov 2023

Expected to finish

Oct 2026

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

Patients withonic col adenomas or polyps

Ages

18 years and older

Sex

Anyone

Healthy volunteers

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

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Patients aged ≥ 18 years, who need to undergo colonoscopy, regardless of gender. * Voluntarily sign the informed consent form * Promise to abide by the research procedures and cooperate in the implementation of the entire research process. Exclusion Criteria: * Patients who has a history of abdominal or pelvic surgery or radiotherapy in the past; * Patients who has definite active lower gastrointestinal bleeding. * Existing or suspected hereditary colorectal polyposis, inflammatory bowel disease; * Uncontrolled hypertension (systolic blood pressure \> 160 mmHg or diastolic blood pressure \> 95 mmHg after standardized treatment) * There is a history of stroke, coronary artery disease, or vascular disease; * Pregnant; * Intestinal preparation cannot be carried out.

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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.

  1. The places running it

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

  2. The official record

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  3. A doctor treating you

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Contacts and locations

Locations

  • Renmin Hospital of Wuhan University

    RECRUITING

    Wuhan, Hubei, China

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