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From Bench to Bedside: A Machine Learning Tool for the Detection of Inspiratory Leak
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.
Details
| Lead sponsor | University of Oslo |
|---|---|
| Status | RECRUITING |
| Enrolment | 20 |
| Start date | Wed Oct 01 2025 00:00:00 GMT+0000 (Coordinated Universal Time) |
| Completion | Thu Oct 01 2026 00:00:00 GMT+0000 (Coordinated Universal Time) |
Conditions
- Chronic Respiratory Failure
Countries
Norway