AI predicts breathing tube failures in 44,000 patients
NCT ID NCT06617403
First seen May 15, 2026
Summary
This study looked at 44,000 adults who had general anesthesia for non-heart surgeries using a supraglottic airway device (a type of breathing mask). The goal was to use artificial intelligence to predict, before surgery, which patients might need an emergency switch to a breathing tube. The research aims to help doctors plan safer anesthesia.
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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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Technical University Munich
Munich, Bavaria, 81675, Germany
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University Hospital Ulm
Ulm, Baden-Wurttemberg, 89073, Germany
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.