AI could help anesthesiologists spot tricky airways
NCT ID NCT06626204
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This completed study tested an artificial intelligence system that analyzes mouth images to predict whether a patient will have a difficult airway during surgery. Researchers enrolled 475 adults undergoing general anesthesia in China. The goal was to see if the AI could be more accurate and consistent than traditional methods like the Mallampati test. The study focused on comparing the AI's predictions with standard assessments.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
intelligent airway assessment system using deep learning
What this could lead to
If successful, this could lead to a more reliable, automated way to predict difficult airways, potentially reducing complications during anesthesia.
What could go wrong
This is a completed exploratory study, not a treatment trial. The AI system may not outperform current methods in real-world settings, and results may not apply to all populations.
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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First Affiliated Hospital of Chongqing Medical University
Chongqing, Chongqing Municipality, 400016, China