Den här översättningen är inte klar ännu. Den här sidan är just nu på engelska.

Gå till den engelska sidan

Cure My Disease

Don't miss your cure!

 Log in / Sign up

AI learns to read scans and reports for smarter disease diagnosis

NCT ID NCT07445152

Knowledge-focused Sponsor: Second Affiliated Hospital, School of Medicine, Zhejiang 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study aims to create an artificial intelligence (AI) system that can combine medical images (like CT and MRI scans) with patient records and lab results to help doctors more accurately diagnose diseases of the liver, gallbladder, and pancreas. The researchers will use data from 2,000 adult patients to train and test the AI. The goal is to make diagnosis faster and more reliable, not to provide a new treatment.

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 2,000 people

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

Expected to start

Nov 2026

An estimate. Start dates often move.

Expected to finish

Nov 2027

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

he study population was composed of adult patients who met the preset inclusion criteria and were free of any exclusion criteria. In terms of inclusion requirements, eligible patients were aged 18 years or older and had received imaging examinations including computed tomography (CT), magnetic resonance imaging (MRI), or ultrasound at the hospital during the study period. The examination items were required to target the hepatobiliary and pancreatic system, which was the focus of the research. All enrolled patients needed to be equipped with at least complete imaging data and radiological diagnostic reports, with relevant medical record information serving as supplementary modalities. In addition, written informed consent must be obtained from the patients themselves or their legal representatives, who agreed that the de-identified data of the patients could be used for the validation of scientific research models. Finally, all case data of the selected patients had to pass strict qual

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: * Adult patients aged ≥ 18 years. * Patients who underwent imaging examinations (CT, MRI, ultrasound, etc.) at this hospital during the study period. * The examination items are consistent with the disease types or systems focused on by the study (hepatobiliary and pancreatic system). * Possess at least complete imaging data, radiological diagnostic reports, with relevant medical record information as supplementary modalities. * Patients and their legal representatives have signed an informed consent form, agreeing to the use of their de-identified data for scientific research model validation. Exclusion Criteria: * Patients who refuse to sign the informed consent form. * Cases with unassessable images due to severe motion artifacts, incomplete scanning, or equipment abnormalities. * Cases with severe deficiency of clinical data or failure to match with imaging data. * Cases with special pathological conditions or post-operative status (e.g., extensive resection, significant structural changes after radiotherapy) that affect the consistency of model analysis. * Data samples with privacy protection or legal risks.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for Artificial intelligence (AI) are added.

Vår säkerhetsrekommendation!

Genom att skicka in godkänner du våra Användarvillkor

Conditions

The condition(s) this trial relates to.

gallbladder disorder liver disorder pancreas disorder

As listed by the trial registrant

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

Artificial intelligence (AI) Gallbladder diseases Liver diseases Pancreatic diseases

How to take part

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

  1. 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 ↗

  2. 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.

More trials for these conditions

Other studies related to the condition(s) this trial covers.