AI could predict the perfect moment to take ICU patients off ventilators

NCT ID NCT07658131

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tests an artificial intelligence program designed to predict the best time to remove a breathing tube (extubation) from patients in intensive care. Researchers will use data from 1500 adults who were on a ventilator for at least 72 hours across four hospitals. The AI analyzes routine clinical information like ventilator settings and vital signs to forecast successful extubation. The goal is to see how accurately the tool performs compared to standard medical judgment.

What this could mean

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

Active substance

AI-aided weaning software

What this could lead to

If successful, this AI tool could help doctors decide when to safely remove a breathing tube, potentially reducing time on ventilators and improving outcomes for critically ill patients.

What could go wrong

This is a retrospective study using existing data, not a live trial. The AI may not perform as well in real-world settings or on different patient populations.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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Conditions

The condition(s) this trial relates to.

Critical Illness respiratory failure

As listed by the trial registrant

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

Contacts and locations

Locations

  • Taichung Veterans General Hospital

    Taichung, Taiwan