Condition: Anesthesia · Intubation; Difficult or Failed · Airway Complication of Anesthesia · Sponsor: Centre Hospitalier Universitaire Vaudois
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.
This description comes directly from the study's public registry record.
Patrick Schoettker, PhD · +41213142007 · patrick.schoettker@chuv.ch
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| University Hospital Lausanne CHUV | Lausanne, Switzerland | Recruiting |
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Source record: clinicaltrials.gov/study/NCT06453525