AI predicts breathing tube failures in 44,000 patients
NCT ID NCT06617403
First seen Jun 27, 2026 · Last updated Jun 27, 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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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.
Contacts and locations
Locations
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Technical University Munich
Munich, Bavaria, 81675, Germany
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University Hospital Ulm
Ulm, Baden-Wurttemberg, 89073, Germany
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