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AI could spot hidden cancers on routine CT scans

NCT ID NCT07639567

Diagnosis Sponsor: Lian Yang 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 27, 2026 · Last updated Jul 31, 2026 · Updated 1 time

Summary

This study will test an artificial intelligence system that screens for breast, liver, kidney, and bladder cancers using standard CT scans taken for other reasons. Researchers plan to enroll 100,000 participants to see if the AI can catch tumors earlier and help doctors reduce missed diagnoses. The goal is to improve cancer detection without extra scans or radiation.

What this could mean

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

Active substance
deep learning-based AI software
What this could lead to
If successful, this AI could help doctors spot breast, liver, kidney, and bladder cancers earlier on routine CT scans, potentially improving survival rates.
What could go wrong
This is an early-stage study testing the AI's accuracy, not a treatment trial. The AI may not work as well in real-world settings or for all patients.

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 100,000 people

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

Expected to start

Jul 2026

An estimate. Start dates often move.

Expected to finish

Jul 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

Patients with a confirmed diagnosis of the target malignancy who received treatment.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

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: 1. Patients with a confirmed diagnosis of the target malignancy who received treatment at our institution; 2. Diagnostic-quality CT images without substantial metal or motion artifacts and with complete anatomical coverage of the target organ (breast, liver, kidney, or bladder); 3. Availability of complete pre-treatment non-contrast CT imaging data. Exclusion Criteria: 1. Non-diagnostic image quality; 2. Absence of a definitive reference-standard diagnosis; 3. Incomplete clinical or imaging data.

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Conditions

The condition(s) this trial relates to.

breast cancer kidney cancer liver cancer neoplasm urinary bladder carcinoma

As listed by the trial registrant

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

Tumor

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

  • Union Hospital，Tongji Medical College，Huazhong University of Science and Technology

    Wuhan, Hubei, 430000, China

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