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RECRUITING
NCT06453525

PrediSuisse: Automatized Assessment of Difficult Airway

Sponsor: Centre Hospitalier Universitaire Vaudois

View on ClinicalTrials.gov

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

OTHER

intubation

Tracheal intubation using one of the three existing videolaryngoscopes

Locations (1)

University Hospital Lausanne CHUV

Lausanne, Switzerland