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Can a computer predict liver cancer before it strikes?

NCT ID NCT06140823

Knowledge-focused Sponsor: Beth Israel Deaconess Medical Center 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jun 27, 2026

Summary

This study checks if a computer model called LIRIC can accurately predict who will develop liver cancer using electronic health records. Researchers will track 6 million adults aged 40 and older without a history of liver cancer to see how well the model works. The goal is to improve early detection and prevention.

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

6,000,000 people

The number who actually took part.

Started

Apr 2023

Expected to finish

Mar 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

The cohort will be selected from 44 eligible HCOs comprised of community hospitals, outpatient clinics and academic medical centers from across the US.

Ages

40 to 100 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.

The investigators will utilize the following criteria for all 3 models: Inclusion criteria: * Male and females age ≥40 years from all US HCOs available on the platform * at least at least 2 clinical encounters to the HCO, within the last year, before the study start date Exclusion Criteria: * Personal history of HCC or current HCC (ICD-9: 155.0; ICD-10: C22.0) * Age below 40. The same dataset will be utilized for the non-cirrhosis validation, with exclusion of all cases with cirrhosis (ICD-9: 571.2, 571.5; ICD-10: K70, K70.3, K70.30, K70.31, K74, K74.0, K74.6, K74.60, K74.69). For the cirrhosis validation, the investigators will include only patients with the above cirrhosis codes.

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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.

Predictive cancer model

Contacts and locations

Locations

  • Beth Israel Deaconess Medical Center

    Boston, Massachusetts, 02115, United States

More trials for these conditions

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