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

• Forschungsstelle: INNOSUISSE
• Projektnummer: 12636.1;12 PFLS-LS
• Projekttitel Englisch: Prediction of difficult tracheal intubation with automatic face analysis and artificial intelligence

Kurzbeschreibung (Englisch)

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

Kurzbeschreibung (Französisch)

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

Abstract (Englisch)

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.

Abstract (Französisch)

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.