Actively Recruiting
Automated Assessment of Difficult Airway With Facial Recognition Techniques
Led by University of Lausanne Hospitals · Updated on 2024-05-08
6000
Participants Needed
1
Research Sites
668 weeks
Total Duration
On this page
Sponsors
U
University of Lausanne Hospitals
Lead Sponsor
E
Ecole Polytechnique Fédérale de Lausanne
Collaborating Sponsor
AI-Summary
What this Trial Is About
General anaesthesia mandates artificial ventilation and tracheal intubation in order to provide patients with artificial breathing. Difficulties related to ventilation and intubation remain the leading cause of morbidity and mortality in general anaesthesia, essentially due to inaccuracies in pre-operative detection of anatomical factors predisposing to difficult airways. In this project investigators will develop image and video-processing technologies software solutions to allow automatic recognition of anatomical features playing a key role in identification of difficult ventilation and intubation, leading to modifications in pre-operative anaesthesia management assessment and therefore increase patients' safety.
CONDITIONS
Official Title
Automated Assessment of Difficult Airway With Facial Recognition Techniques
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Adult patient (15 years of age or older)
- Patients requiring endotracheal intubation for general anesthesia
You will not qualify if you...
- Patient refusal
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Dpt of Anesthesiology, University of Lausanne CHUV
Lausanne, Canton of Vaud, Switzerland, 1011
Actively Recruiting
Research Team
P
Patrick Schoettker, Assoc Prof
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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