Clinical Research Directory

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

Sponsor: University of Oslo

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.

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