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AI could predict which ICU patients with breathing failure are at highest risk of death

NCT ID NCT06333002

Completed Knowledge-focused Sponsor: Hospital Universitario de Gran Canaria Doctor Negrín Source: ClinicalTrials.gov ↗

First seen Jul 09, 2026 · Last updated Jul 10, 2026 · Updated 1 time

Summary

This study tests whether machine learning can predict death in the intensive care unit for patients with acute hypoxemic respiratory failure (AHRF), a common cause of ICU admission. Researchers will analyze data from over 1,200 patients, using several machine learning algorithms to find the best model with the fewest variables. The goal is to create a simple, accurate tool that helps doctors identify high-risk patients early.

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 could lead to a tool that helps doctors predict which patients are at highest risk of dying in the ICU, allowing for earlier and more targeted care.
What could go wrong
This is an observational analysis of existing data, not a treatment trial. The machine learning models may not perform well in other hospitals or patient groups, and they do not directly improve outcomes.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

acute respiratory failure respiratory failure

As listed by the trial registrant

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

ACUTE HYPOXEMIC RESPIRATORY FAILURE

Contacts and locations

Locations

  • Hospital Cinico de Valencia

    Valencia, 46010, Spain

  • Hospital General Universitario de Ciudad Real

    Ciudad Real, 13005, Spain

  • Hospital Universitario La Paz

    Madrid, 28046, Spain

  • Hospital Universitario NS de Candelaria

    Santa Cruz de Tenerife, 38010, Spain

  • Hospital Universitario Puerta de Hierro

    Madrid, 28222, Spain

  • Hospital Universitario Rio Hortega

    Valladolid, 47012, Spain

  • Hospital Universitario Virgen de Arrixaca

    Murcia, 3012, Spain

  • Hospital Virgen de La Luz

    Cuenca, 16002, Spain

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