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Automated Assessment of Difficult Airway With Facial Recognition Techniques

NCT02022397 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 6000

Last updated 2024-05-08

No results posted yet for this study

Summary

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

  • Adverse Effect of Other General Anesthetics, Sequela

Sponsors & Collaborators

  • Ecole Polytechnique Fédérale de Lausanne

    collaborator OTHER

  • University of Lausanne Hospitals

    lead OTHER

Principal Investigators

  • Patrick Schoettker, Assoc Prof · University of Lausanne Hospitals

Eligibility

Min Age
16 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2012-03-31
Primary Completion
2024-12-23
Completion
2024-12-23

Countries

  • Switzerland

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02022397 on ClinicalTrials.gov