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AI model could spot hidden blood clot risk in ICU patients

NCT ID NCT07596264

Knowledge-focused Sponsor: Beijing Tsinghua Chang Gung Hospital 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 used data from over 12,000 ICU patients to create a computer model that can predict which patients are at risk for venous thromboembolism (VTE) – dangerous blood clots. The model was designed to be easy for doctors to understand and use. The goal is to improve prevention and save lives in the ICU.

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 model could help doctors identify ICU patients at high risk for blood clots, potentially preventing life-threatening events.
What could go wrong
This is a model development study, not a treatment trial. The model needs further testing in real-world settings before it can be widely used.

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

12,061 people

The number who actually took part.

Started

Jan 2022

Finished

Dec 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

Patients admitted to ICU were included in the study cohort from January 2022 to October 2025. Inclusion criteria were: (1) age ≥18 years; (2) ICU length of stay ≥48 hours; (3) only the first ICU admission per patient was retained. Exclusion criteria were: (1) VTE diagnosed prior to ICU admission; (2) VTE diagnosed within 24 hours of ICU admission; (3) \>20% missing values in key variables. The final cohort comprised 12,061 patients, of whom 587 (4.9%) developed VTE during ICU hospitalization.

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; * ICU length of stay ≥48 hour * the first ICU admission Exclusion Criteria: * VTE diagnosed prior to ICU admission * VTE diagnosed within 24 hours of ICU admission * \>20% missing values in key variables

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Conditions

The condition(s) this trial relates to.

venous thromboembolism

As listed by the trial registrant

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

Prediction models Venous thromboembolism

Contacts and locations

Locations

  • Beijing Tsinghua Changgung Hospital

    Beijing, Beijing Municipality, 102218, China

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