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AI that refreshes ICU death risk every 6 hours put to the test

NCT ID NCT07825012

Diagnosis Sponsor: Southeast University, China Source: ClinicalTrials.gov ↗

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
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 Results may not be published yet.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)
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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

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Status unknown
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First seen Sep 17, 2026 · Last updated Sep 18, 2026 · Updated 1 time

Summary

Researchers are testing FedHist, an artificial intelligence model that estimates a critically ill patient's risk of dying in the ICU within the next 24 hours. The model uses routinely collected clinical information and updates its estimate every six hours. The study enrolls adults admitted to intensive care units across several hospitals and compares FedHist's predictions with what actually happens to patients. The goal is to learn whether the model predicts accurately across hospitals with different patient populations and practices.

What this could mean

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

Active substance
FedHist, an artificial intelligence model that estimates ICU mortality risk
What this could lead to
If FedHist proves accurate across hospitals, it could give ICU teams an early warning tool to identify patients at higher risk of dying and adjust care sooner.
What could go wrong
The model may not predict equally well in hospitals with different patient populations or practices, and its estimates could be wrong in either direction. This study tests accuracy, not whether acting on the predictions saves lives.

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 23,579 people

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

Expected to start

Oct 2026

An estimate. Start dates often move.

Expected to finish

Dec 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

All patients admitted to the participating ICU

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: * Admission to a participating ICU Exclusion Criteria: * Age younger than 18 years. * Expected ICU length of stay shorter than 24 hours. * Refusal to provide written informed consent.

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As listed by the trial registrant

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

ICU

How to take part

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  1. The official record

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    Open the record ↗

  2. A doctor treating you

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