AI sniffs out breathing leaks in ventilator patients
NCT ID NCT07428694
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study is testing whether a machine learning tool can accurately detect air leaks when people breathe in while using a long-term breathing machine. Researchers will first train the tool on lab simulations and data from 10 patients, then test it on another 10 patients. The goal is to see if the tool can spot leaks as well as the standard sleep study method.
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 CHRONIC RESPIRATORY FAILURE 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
-
Oslo University Hospital
RECRUITINGOslo, Norway
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- New monitoring methods could make home ventilation safer and more comfortable
- New turkish questionnaire aims to improve care for breathing machine users
- Can a mask help patients escape the breathing tube faster?
- Extra oxygen boosts walking distance for lung patients?
- Music may boost COPD rehab: study tests tunes for better breathing
- Lockdown diaries: 1,300 patients reveal hidden health risks