AI could help doctors decide when to take patients off ventilators
NCT ID NCT05886803
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.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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University Hospital of Nice
RECRUITINGNice, 06200, France
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