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.
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 CRITICAL ILLNESS are added.
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
-
Taichung Veterans General Hospital
Taichung, Taiwan
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Spinal zaps could reboot breathing after brain injury
- AI may predict transfusion needs to shield ICU patients from organ failure
- A simple blood test trend may flag ICU patients at risk
- Could a simple CT scan reveal which ICU cancer patients are at highest risk?
- A gentle touch from family may calm the ICU storm
- A Mother's voice as medicine? trial tests comforting effect on ventilated children