U.S., Feb. 25 -- ClinicalTrials.gov registry received information related to the study (NCT07428694) titled 'From Bench to Bedside: A Machine Learning Tool for the Detection of Inspiratory Leak' on Feb. 17.
Brief 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.
Study Start Date: Oct. 01, 2025
Study Type: OBSERVATIONAL
Condition:
Chronic Respiratory Failure
Recruitment Status: RECRUITING
Sponsor: University of Oslo
Infor...