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AI could help doctors make better liver cancer decisions

NCT ID NCT07538882

Diagnosis Sponsor: Beijing Tsinghua Chang Gung Hospital 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 an artificial intelligence (AI) model can help doctors more accurately stage and choose treatments for liver cancer (hepatocellular carcinoma). About 108 patients and doctors from different hospitals will participate. Doctors will make decisions with and without AI help to see if the AI improves accuracy and reduces differences between large and small hospitals.

What this could mean

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

Active substance
Artificial intelligence (AI) model for staging and treatment decisions
What this could lead to
If successful, this could show that AI helps doctors make more accurate liver cancer staging and treatment decisions, reducing differences in care between large and small hospitals.
What could go wrong
This is a small, early-stage study (108 participants) testing a tool, not a treatment. The AI may not improve accuracy in real-world settings, and results may not apply to all hospitals or 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 108 people

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

Expected to start

Apr 2026

An estimate. Start dates often move.

Expected to finish

May 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

The study population comprises 108 prospectively and consecutively enrolled adult patients with newly diagnosed primary hepatocellular carcinoma (HCC). Following enrollment and confirmation of complete baseline clinical and imaging data, these 108 patient cases are randomly divided into two equal datasets: Set A (54 cases) and Set B (54 cases). Randomization is stratified to ensure no statistically significant differences between the two sets regarding baseline characteristics such as tumor burden, liver function grading, and staging distribution. In the context of this multi-rater multi-case (MRMC) crossover design, these patient cases are allocated to distinct evaluation conditions. Set A cases are assigned to be evaluated by the first group of reviewing physicians without AI assistance (control condition) and by the second group of physicians with AI assistance (experimental condition). Conversely, Set B cases are evaluated by the second group of physicians without AI

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: * Age \>= 18 years. * Patients prospectively presenting with suspected or newly diagnosed primary hepatocellular carcinoma (HCC) later confirmed by pathology or meeting the China Liver Cancer (CNLC) guidelines. * Complete baseline clinical data acquired during the prospective enrollment period, including complete history of present/past illness, ECOG PS score, comprehensive laboratory tests (liver function, coagulation, tumor markers such as AFP, etc.), and baseline abdominal contrast-enhanced CT. * Patients (or their legal representatives) must provide written informed consent for their clinical data to be used in this trial. Exclusion Criteria: * Patients with secondary (metastatic) liver cancer or concurrent severe malignancies of other systems. * Patients who fail to complete the required baseline imaging or laboratory tests, preventing accurate staging calculation (e.g., missing data for Child-Pugh score). * Patients who have previously received anti-tumor therapies for liver cancer prior to enrollment.

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Conditions

The condition(s) this trial relates to.

hepatocellular carcinoma

As listed by the trial registrant

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

Hepatocellular carcinoma (HCC)

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

  • Beijing Tsinghua Changgung Hospital

    RECRUITING

    Beijing, Changping, 102218, China

More trials for these conditions

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