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AI tool spots pneumonia risk after brain surgery

NCT ID NCT07321262

Diagnosis Sponsor: Ming Yang Source: ClinicalTrials.gov ↗

What the study statuses mean

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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
Running, but no longer taking on new participants.
Completed This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 tested a machine learning tool that uses routine medical data to predict pneumonia risk within the first week after brain tumor surgery. Researchers included over 1,800 adults having their first planned brain tumor removal. The goal was to see if the AI could help doctors identify high-risk patients early and guide preventive care.

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

1,856 people

The number who actually took part.

Started

Aug 2024

Finished

Sep 2025

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

Adult patients undergoing elective craniotomy for intracranial brain tumor resection at participating centers. The study includes a retrospective model-development cohort and multiple prospective validation cohorts. Routinely collected perioperative electronic medical record data are used to develop and validate an interpretable prediction model for early postoperative pneumonia (within 7 postoperative days).

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 elective craniotomy for intracranial brain tumor resection. * Perioperative clinical data available in the electronic medical record to derive required predictors. * Expected postoperative survival ≥ 7 days. Exclusion Criteria: * Evidence of active infection (including pneumonia) prior to surgery. * Thoracic surgery or severe chest trauma within 30 days prior to craniotomy. * Spinal tumors or extracranial peripheral nerve tumors. * Pregnancy or lactation. * Hospice care, expected survival \< 7 days, or insufficient data completeness for model calculation.

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Conditions

The condition(s) this trial relates to.

brain cancer brain neoplasm pneumonia prevention target

As listed by the trial registrant

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

Brain tumors Postoperative pneumonia

Contacts and locations

Locations

  • National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

    Beijing, Beijing Municipality, 100021, China

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