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.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 20 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Oct 2025
- Expected to finish
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Oct 2026
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Patients undergoing treatment with Lumis 100/150 for type 2 chronic resiratory failure
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * elective hospitalisation for control of non-invasive ventilation * use of ResMedLumis 100/150 ventilator * treatment for \>3 months Exclusion Criteria: * current exacerbation
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Oslo University Hospital
RECRUITINGOslo, Norway
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Other studies related to the condition(s) this trial covers.
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