PrediSuisse: Automatized Assessment of Difficult Airway
PrediSuisse: Automatized Assessment of Difficult Airway Using Three Videolaryngoscopes With the Help of Facial Recognition Techniques and Neural Network
Centre Hospitalier Universitaire Vaudois
1,800 participants
Jan 1, 2025
OBSERVATIONAL
Conditions
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.
Eligibility
Inclusion Criteria2
- Adult patients (≥ 18 years old) presenting at the pre-anesthesia consult for an elective general anesthesia necessitating a tracheal intubation
- Signed informed consent.
Exclusion Criteria3
- Patients not speaking French (in Geneva and Lausanne) or Italian (in Lugano).
- Patients previously operated on the airway with anatomical modifications (ENT Flaps, tracheotomies).
- Patients unable to follow procedures or to give consent will also be excluded.
Interested in this trial?
Get notified about updates and connect with the research team.
Interventions
Tracheal intubation using one of the three existing videolaryngoscopes
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT06453525