AI outsmarts old methods to predict tough intubations
NCT ID NCT06961240
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tested an artificial intelligence (AI) system to predict which patients might have a difficult time being intubated (having a breathing tube placed) during general anesthesia. Researchers measured physical features like mouth opening and neck size, plus took photos, and used machine learning to make predictions. The goal is to help anesthesiologists prepare better and improve patient safety.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI-based prediction model
- What this could lead to
- If successful, this AI tool could help doctors quickly and accurately identify patients who may have a difficult airway, potentially reducing complications during intubation.
- What could go wrong
- This is a small, completed study with 250 patients. The AI model may not work as well in larger, more diverse groups or in real-world emergency settings.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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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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Kütahya Health Sciences University
Kütahya, 43100, Turkey (Türkiye)
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