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.

NCT Number	NCT07428694
Lead Sponsor	University of Oslo Collaborators: Oslo University Hospital
Conditions	Chronic Respiratory Failure
Enrollment	20 participants
Start Date	2025-10-01
Primary Completion	2026-10-01 (estimated)
Study Completion	2026-10-01 (estimated)
Updated on ClinicalTrials.gov	2026-02-24