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 reads CT scans to spot liver cancer before It's too late

NCT ID NCT06859840

Diagnosis Sponsor: 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
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Sep 16, 2026 · Updated 8 times

Summary

This study tests an AI tool called LEAF that helps doctors analyze CT scans of the abdomen to find liver cancer early. Researchers will use scans from 10,000 patients with confirmed liver tumors to train the AI to better detect cancer. The goal is to improve early screening and give patients a better chance at successful treatment.

What this could mean

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

Active substance
LEAF AI model (device)
What this could lead to
If successful, this AI tool could help doctors spot liver cancer earlier and more accurately, potentially saving lives through timely treatment.
What could go wrong
This is an early-stage study using past data, not a real-world test. The AI may not perform as well in different hospitals or with diverse 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.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 2,500 people

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

Started

Jul 2026

Expected to finish

Nov 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.

Ages

18 to 90 years

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: Age range 18 years and above; Underwent non-contrast chest or abdominal CT examination with liver coverage; Patients with an established diagnosis of cirrhosis; Patients with an established diagnosis of extrahepatic cancer. Exclusion criteria: Patients who have been diagnosed with malignant liver tumor; Patients who underwent liver transplantation; Low quality image, severe artifacts and noise.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for Cirrhosis are added.

Vår säkerhetsrekommendation!

Genom att skicka in godkänner du våra Användarvillkor

Conditions

The condition(s) this trial relates to.

cirrhosis of liver hepatocellular carcinoma intrahepatic cholangiocarcinoma liver cancer

As listed by the trial registrant

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

Hepatocellular carcinoma Liver malignancy

Contacts and locations

Locations

  • the First Affiliated Hospital, School of Medicine, Zhejiang University

    Hangzhou, Zhejiang, 310009, China

More trials for these conditions

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