AI could spot tough intubations before surgery
NCT ID NCT01612949
First seen Apr 03, 2026
Summary
This study aims to develop a computer algorithm that uses three facial photographs to predict how difficult it will be to insert a breathing tube (intubation). Researchers will compare this automated method to traditional exams in 3,500 patients needing intubation. If accurate, the tool could provide a consistent, objective way to anticipate challenges and improve patient safety.
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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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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Wake Forest Baptist Medical Center
RECRUITINGWinston-Salem, North Carolina, 27157, United States
Contact Phone: •••-•••-••••
Contact
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 simple, accurate tool to predict difficult intubation, reducing complications and improving patient safety.
What could go wrong
This is an early-stage study focused on developing an algorithm, not testing a treatment. The tool may not prove more accurate than existing methods, and results may not apply to all patients.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.