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.
Disclaimer
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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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Kütahya Health Sciences University
Kütahya, 43100, Turkey (Türkiye)