Trials / Recruiting
RecruitingNCT06453525
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
- Status
- Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 1,800 (estimated)
- Sponsor
- Centre Hospitalier Universitaire Vaudois · Academic / Other
- Sex
- All
- Age
- 18 Years – 100 Years
- Healthy volunteers
- Not accepted
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.
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.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | intubation | Tracheal intubation using one of the three existing videolaryngoscopes |
Timeline
- Start date
- 2025-01-01
- Primary completion
- 2026-11-15
- Completion
- 2027-01-31
- First posted
- 2024-06-11
- Last updated
- 2026-03-27
Locations
1 site across 1 country: Switzerland
Source: ClinicalTrials.gov record NCT06453525. Inclusion in this directory is not an endorsement.