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From Bench to Bedside: A Machine Learning Tool for the Detection of Inspiratory Leak

StatusRecruiting
PhaseNot specified
Started
View on ClinicalTrials.gov ↗
Record status
This record was last updated February 24, 2026 (before its estimated October 1, 2026 completion). Its status may not reflect the trial's current state.

Record History

  1. Study First Submitted
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.
Trial Details
NCT Number NCT07428694
Lead Sponsor University of Oslo
Collaborators: Oslo University Hospital
Conditions
(from sponsor)		 Chronic Respiratory Failure
Enrollment 20 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov