View clinical trials related to Mask-ventilation.
Filter by:The aim of this study is to prove feasibility and assess the diagnostic performance of a machine learning algorithm that relies on data from 3D-face scans with predefined motion-sequences and scenes (MASCAN algorithm), together with patient-specific meta-data for the prediction of difficult mask ventilation. A secondary aim of the study is to verify whether voice and breathing scans improve the performance of the algorithm. From the clinical point of view, we believe that an automated assessment would be beneficial, as it preserves time and health-care resources while acting observer-independent, thus providing a rational, reproducible risk estimation.
The Articulating Oral Airway (AOA) is a novel oral airway which actively displaces the tongue, allowing for a greater cross-sectional area for mask ventilation. The investigators hypothesize that, in patients with predictors for difficult mask ventilation, the AOA will be non-inferior to the Geudel oral airway in terms of expired tidal volumes.