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AI could help doctors decide when to take patients off ventilators

NCT ID NCT05886803

Knowledge-focused Sponsor: Centre Hospitalier Universitaire de Nice 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 29, 2026 · Last updated Jun 30, 2026 · Updated 1 time

Summary

This study looks at whether machine learning can predict if a patient in intensive care will succeed in a spontaneous breathing test—a key step before removing a ventilator. Researchers will analyze biosignals like heart rate and breathing patterns from 500 patients' medical records. The goal is to develop an algorithm that helps clinicians make safer, faster decisions about weaning patients from mechanical ventilation.

What this could mean

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

Active substance
machine learning algorithm
What this could lead to
If successful, this could give doctors a reliable tool to predict when a patient is ready to breathe on their own, reducing time on ventilators and improving outcomes.
What could go wrong
This is a retrospective study using existing data, so results may not apply to all patients. The algorithm's accuracy in real-time clinical settings remains unproven.

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 500 people

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

Started

Jan 2023

Expected to finish

Jun 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 patient admited in Intensive Care/Critical Care who needed ventilatory support, whatever the etiology requiring it.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

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: * Computerized health report (CHR) * Spontaneous breathing test should have been performed Exclusion Criteria: * Spontaneous breathing test has not been performed, * Biosignal (cardiac, respiratory) are not registered in the CHR * Patient died before the spontaneous breathing test * Opposition to the study has been expressed.

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As listed by the trial registrant

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

Weaning from mechanical ventilation in care unit

How to take part

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

  1. The places running it

    1 site. 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

  • University Hospital of Nice

    RECRUITING

    Nice, 06200, France

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