Clinical Research Directory

Automated Assessment of Difficult Airway With Facial Recognition Techniques

Sponsor: University of Lausanne Hospitals

Summary

General anaesthesia mandates artificial ventilation and tracheal intubation in order to provide patients with artificial breathing. Difficulties related to ventilation and intubation remain the leading cause of morbidity and mortality in general anaesthesia, essentially due to inaccuracies in pre-operative detection of anatomical factors predisposing to difficult airways. In this project investigators will develop image and video-processing technologies software solutions to allow automatic recognition of anatomical features playing a key role in identification of difficult ventilation and intubation, leading to modifications in pre-operative anaesthesia management assessment and therefore increase patients' safety.

Official title: Automatic Assessment of Difficult Ventilation and Intubation From Automatic Face Analysis and Artificial Intelligence

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Locations (1)