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NCT06453525 | NOT YET RECRUITING | Anesthesia

PrediSuisse: Automatized Assessment of Difficult Airway
Sponsor:

Vaudois University Hospital Center

Information provided by (Responsible Party):

Patrick Schoettker

Brief 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.

Condition or disease

Anesthesia

Intubation; Difficult or Failed

Airway Complication of Anesthesia

Intervention/treatment

intubation

Detailed Description:

The Swiss multi-institutional research project "PrediSuisse" aims to automatically predict and classify the difficulty of intubation and airway management using three commercially available videolaryngoscopes (VL) by acquiring face/profiles photos and sequences on a training set of 900 patients during the pre-anaesthesia consultation. For each patient, with the help of recently developed Machine Learning (ML), Artificial Intelligence (AI) and Convolutional Neural Network (CNN) techniques, a specially developed software will be trained to provide a predicted airway management difficulty index. This will be performed by correlating those photos/sequences and the real difficulty level of intubation, determined by three experts by reviewing the recordings of the intubations of the training set patients. The software will then be used in routine on a set of 900 other patients to validate the prediction performance.

Study Type : OBSERVATIONAL
Estimated Enrollment : 1800 participants
Official Title : PrediSuisse: Automatized Assessment of Difficult Airway Using Three Videolaryngoscopes with the Help of Facial Recognition Techniques and Neural Network
Actual Study Start Date : 2024-12-01
Estimated Primary Completion Date : 2026-11-15
Estimated Study Completion Date : 2027-01-31

Information not available for Arms and Intervention/treatment

Ages Eligible for Study: 18 Years to 100 Years
Sexes Eligible for Study: ALL
Accepts Healthy Volunteers:
Criteria
Inclusion Criteria
  • * Adult patients (≥ 18 years old) presenting at the pre-anesthesia consult for an elective general anesthesia necessitating a tracheal intubation
  • * Signed informed consent.
Exclusion Criteria
  • * 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.
PrediSuisse: Automatized Assessment of Difficult Airway

Location Details

NCT06453525

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How to Participate

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Locations

Not yet recruiting

Switzerland,

University Hospital Lausanne CHUV

Lausanne, Switzerland, 1011