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AI may catch precancerous polyps from simple blood tests

NCT ID NCT07793110

Diagnosis Sponsor: Renmin Hospital of Wuhan University Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Aug 28, 2026 · Last updated Aug 28, 2026

Summary

This study tests whether an artificial intelligence model can use routine laboratory results and patient information to identify people at high risk for colorectal adenomas, which are precancerous polyps. The researchers will collect data from 400 adults undergoing colonoscopy and use it to build and validate the model. If successful, this approach could offer a convenient, low-cost way to flag who needs a colonoscopy, potentially catching polyps earlier and preventing colorectal cancer.

What this could mean

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

Active substance
No active intervention; observational study using routine lab and demographic data to build an AI prediction model
What this could lead to
If the model works, it could offer a simple, non-invasive way to flag people at high risk for colorectal adenomas, helping them get colonoscopies earlier and potentially preventing colorectal cancer.
What could go wrong
This is an early, observational study. The model may not be accurate enough in real-world settings, and it won't replace colonoscopy, which remains the gold standard for diagnosis.

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 400 people

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

Expected to start

Sep 2026

An estimate. Start dates often move.

Expected to finish

Sep 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

This study enrolls adult patients aged ≥18 years who undergo colonoscopy. Subjects have pathologically confirmed diagnoses of colorectal adenoma or non-adenomatous colorectal lesions. Participants are capable of understanding and signing informed consent and can fully cooperate to complete all study-related procedures. Patients with unavailable laboratory data, other malignant lesions, autoimmune diseases, repeated enrollment records, pregnancy or lactation status will be excluded.

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: * Patients aged ≥ 18 years undergoing colonoscopy, with pathologically confirmed diagnosis of colorectal adenoma or non-adenomatous lesions (e.g., inflammatory polyps, hyperplastic polyps, chronic inflammation, etc.); * Capable of reading, understanding and signing the informed consent form; * The investigator judges that the subject can understand the procedures of this clinical study, and is willing and able to cooperate with and complete all study procedures. Exclusion Criteria: * Unavailable clinical data including laboratory test results; * Neoplastic lesions other than colorectal adenoma; * Non-first diagnosis of colorectal adenoma; * Autoimmune diseases; * Repeated enrolled subjects (duplicate patients); * Pregnancy or breastfeeding status; * Failure to obtain informed consent; * The investigator considers that the subject has high-risk diseases or other special conditions unsuitable for participating in this clinical trial.

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Conditions

The condition(s) this trial relates to.

colorectal adenoma polyp

As listed by the trial registrant

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

Colorectal adenoma Polyp

How to take part

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  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

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Contacts and locations

Locations

  • Renmin Hospital of Wuhan University

    Wuhan, Hubei, 430060, China

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