Prediction of difficult tracheal intubation with automatic face analysis and artificial intelligence

• Unité de recherche: INNOSUISSE
• Numéro de projet: 12636.1;12 PFLS-LS
• Titre du projet anglais: Prediction of difficult tracheal intubation with automatic face analysis and artificial intelligence

Description succincte (Anglais)

Prediction of difficult tracheal intubation with automatic face analysis and artificial intelligence

Description succincte (Français)

Prediction of difficult tracheal intubation with automatic face analysis and artificial intelligence

Résumé des résultats (Abstract) (Anglais)

General anaesthesia mandates tracheal intubation in order to provide patients with artificial breathing. Difficulties related to 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 we will develop image and video-processing technologies software solutions to allow automatic recognition of anatomical features playing a key role in identification of difficult intubation, leading to modifications in pre-operative anaesthesia management assessment and therefore increase patients¿ safety.

Résumé des résultats (Abstract) (Français)

General anaesthesia mandates tracheal intubation in order to provide patients with artificial breathing. Difficulties related to 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 we will develop image and video-processing technologies software solutions to allow automatic recognition of anatomical features playing a key role in identification of difficult intubation, leading to modifications in pre-operative anaesthesia management assessment and therefore increase patients¿ safety.