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PrediSuisse: Automatized Assessment of Difficult Airway
Sponsor: Centre Hospitalier Universitaire Vaudois
Summary
In the "PrediSuisse" research project, the investigators aim to create a reliable, reproducible, ultra-portable and radiation-free automatized software, able to identify automatically collected features, facial characteristics, and range of movements, to predict intubation difficulty. The software will generate a difficulty intubation score tailored to three commercially available videolaryngoscopes with different type of blades, corresponding to the predicted endotracheal intubation difficulty while providing the anaesthesiologist a reliable and non-subjective tool to assess individual patient's risks with regards to airway management.
Official title: PrediSuisse: Automatized Assessment of Difficult Airway Using Three Videolaryngoscopes With the Help of Facial Recognition Techniques and Neural Network
Key Details
Gender
All
Age Range
18 Years - 100 Years
Study Type
OBSERVATIONAL
Enrollment
1800
Start Date
2025-01-01
Completion Date
2027-01-31
Last Updated
2026-03-27
Healthy Volunteers
No
Interventions
intubation
Tracheal intubation using one of the three existing videolaryngoscopes
Locations (1)
University Hospital Lausanne CHUV
Lausanne, Switzerland