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AI may foresee lung complications after liver surgery

NCT ID NCT07070362

Knowledge-focused 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Aug 17, 2026 · Last updated Aug 18, 2026 · Updated 1 time

Summary

This study aims to build a digital early-warning system that uses machine learning to predict acute lung injury (ALI) in patients undergoing major liver surgery. By analyzing cardiopulmonary interaction characteristics, the model could help doctors identify at-risk patients early and make better treatment decisions. The research will involve 3000 adult patients having major liver surgery, such as hepatectomy or liver transplantation, and will track whether they develop ALI within 7 days after surgery.

What this could mean

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

What this could lead to
If successful, this could lead to a digital tool that helps doctors predict and prevent acute lung injury after major liver surgery, potentially reducing complications and deaths.
What could go wrong
This is an observational study, so it won't test a treatment. The AI model may not be accurate enough for real-world use, and results may not apply to 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 3,000 people

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

Started

Nov 2024

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

* Patient refusal * Presence of comorbidities affecting outcome assessment * Incomplete outcome records * Postoperative follow-up failure * Participation in other studies that may interfere with outcome assessment

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 * Undergoing major liver surgery (including two-segment or more hepatectomy, liver transplantation, etc.) * Voluntary participation with signed informed consent

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Conditions

The condition(s) this trial relates to.

acute lung injury acute respiratory distress syndrome adult acute respiratory distress syndrome cirrhosis of liver hepatocellular carcinoma liver cancer metabolic dysfunction-associated steatotic liver disease

As listed by the trial registrant

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

Acute lung injury(ALI) ARDS, human Liver cancer, adult Liver cirrhosis MASLD Masld/mash (metabolic dysfunction-associated steatotic liver disease / metabolic dysfunction-associated steatohepatitis) NAFLD - nonalcoholic fatty liver disease

How to take part

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

  1. The places running it

    4 sites. 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, School of Clinical Medicine, Tsinghua Medicine，Tsinghua University

    RECRUITING

    Beijing, Beijing Municipality, 102218, China

  • Huangdao District People's Hospital of Qingdao

    RECRUITING

    Qingdao, China

  • Peking University International Hospital

    RECRUITING

    Beijing, China

  • Southwest Hospital, The First Affiliated Hospital of Army Medical University

    RECRUITING

    Chongqing, China

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