AI reads your face to predict breathing tube challenges
NCT ID NCT06839261
First seen Jun 26, 2026 · Last updated Jun 26, 2026
Summary
This completed study tested whether an artificial intelligence program, trained on patient photos, could predict if inserting a double-lumen breathing tube would be difficult. Researchers took six photos of the head and neck of 260 adults undergoing thoracic surgery and used the AI to estimate intubation difficulty, comparing it to standard methods. The goal was to see if AI could help anesthesiologists prepare better and reduce complications.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
Artificial intelligence algorithm
What this could lead to
If successful, this AI tool could help anesthesiologists predict difficult intubations more accurately, potentially reducing complications.
What could go wrong
This is a single-center completed study with 260 patients, so results may not apply broadly. The AI's accuracy depends on photo quality and may not outperform conventional methods.
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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Ankara Atatürk Sanatoryum Training and Research Hospital
Ankara, Keçiören, 06290, Turkey (Türkiye)