Trials / Recruiting
RecruitingNCT07428694
From Bench to Bedside: A Machine Learning Tool for the Detection of Inspiratory Leak
- Status
- Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 20 (estimated)
- Sponsor
- University of Oslo · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Not accepted
Summary
Study of the applicability of machine learning tools in detecting inspiratory leakage in longterm non-invasive ventilation. The study was conducted in two stages. Firstly the ML model was trained on both bench model created scenarios and then ten patients. And secondly the success of the model was assessed in a proof of concept pilot study of ten patients.
Conditions
Timeline
- Start date
- 2025-10-01
- Primary completion
- 2026-10-01
- Completion
- 2026-10-01
- First posted
- 2026-02-24
- Last updated
- 2026-02-24
Locations
1 site across 1 country: Norway
Source: ClinicalTrials.gov record NCT07428694. Inclusion in this directory is not an endorsement.