Clinical Trials Directory

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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

TypeNameDescription
OTHERintubationTracheal 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.