AI predicts ventilator duration in respiratory failure

NCT ID NCT06815523

First seen Jul 08, 2026 · Last updated Jul 09, 2026 · Updated 1 time

Summary

This study tests whether machine learning can predict if a patient with acute hypoxemic respiratory failure will need a breathing machine for a week or longer. Researchers analyzed data from over 1,200 ICU patients in Spain, using information from the first 48 hours to build a predictive model. The goal is to identify a simple set of factors that can help doctors anticipate prolonged ventilation and tailor care accordingly.

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 help doctors better predict how long a patient will need a breathing machine, potentially improving ICU planning and 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.

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

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for ACUTE HYPOXEMIC RESPIRATORY FAILURE are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

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

Contacts and locations

Locations

  • Hospital Dr. Negrin

    Las Palmas de Gran Canaria, Las Palmas, 35019, Spain

  • Hospital Universitario La Paz

    Madrid, Spain

More trials for these conditions

Other studies related to the condition(s) this trial covers.