Ultrasound and AI could make breathing tube placement safer
NCT ID NCT06925009
First seen Jan 07, 2026 · Last updated Apr 30, 2026 · Updated 17 times
Summary
This study looks at whether ultrasound measurements of the neck, combined with patient information and machine learning, can help doctors predict the best method for placing a breathing tube (intubation) using a video laryngoscope. The goal is to make intubation safer and more successful. The study will involve 280 adults undergoing planned surgery.
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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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Contacts and locations
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Locations
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Clinica Universidad de Navarra
RECRUITINGMadrid, Madrid, 28027, Spain
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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