Can AI read ultrasound to ensure a clear airway?
NCT ID NCT07766382
First seen Aug 14, 2026 · Last updated Aug 14, 2026
Summary
This study is testing whether artificial intelligence can accurately confirm that a laryngeal mask airway (a tube used to help patients breathe during surgery) is placed correctly. Researchers will use ultrasound images and compare the AI's assessment to the standard fiberoptic camera method. The goal is to see if AI can reliably tell the difference between optimal and suboptimal placement, which could lead to a quicker and less invasive way to check airway safety.
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-based models analyzing ultrasound images and clinical data
- What this could lead to
- If successful, this could provide a faster, less invasive way to confirm airway device placement during surgery, potentially improving patient safety.
- What could go wrong
- This is an early-stage diagnostic study, and the AI models may not be accurate enough for real-world use. The results depend on the quality of ultrasound images and may not apply to all patients.
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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
-
Duzce University
RECRUITINGDüzce, Düzce, Turkey (Türkiye)
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can a camera guide safer breathing tubes during endoscopy?
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- Can a nasal cannula outperform a face mask in keeping patients oxygenated during emergency intubation?
- Could a simple valve make manual ventilation safer during surgery?
- Scope-Guided tube swap may cut time without oxygen
- Video-Assisted airway device may improve First-Attempt intubation success