AI predicts tough intubations: could save lives in surgery
NCT ID NCT06453525
First seen Apr 11, 2026 · Last updated Jun 10, 2026 · Updated 6 times
Summary
This study aims to create a portable, radiation-free software that uses facial recognition and neck movement analysis to predict how difficult it will be to place a breathing tube during anesthesia. Researchers will enroll 1800 adults undergoing planned surgery to test the software against expert assessments. The goal is to give anesthesiologists a reliable, objective tool to better prepare for each patient's airway needs.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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University Hospital Lausanne CHUV
RECRUITINGLausanne, 1011, Switzerland
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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