Ultrasound and AI may help doctors predict tough intubations
NCT ID NCT06925009
First seen Jan 07, 2026 · Last updated Jun 23, 2026 · Updated 26 times
Summary
This study looks at whether ultrasound measurements of the neck, combined with machine learning, can predict when placing a breathing tube (intubation) will be difficult. Researchers will collect data from 280 adults having scheduled surgery. The goal is to improve preparation and safety, not to test a new treatment.
Disclaimer
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This is a summary of
the original study
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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: •••••@•••••
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this could lead to a tool that helps doctors predict difficult intubations more accurately, improving patient safety during surgery.
What could go wrong
This is an early observational study, not a treatment trial. The findings may not apply to all patients or settings, and the machine-learning model needs further validation.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.