AI reads your face to predict breathing tube challenges

NCT ID NCT06839261

Completed Diagnosis Sponsor: Ankara Ataturk Sanatorium Training and Research Hospital Source: ClinicalTrials.gov ↗

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.

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.

ARTIFICIAL INTELLIGENCE (AI) DOUBLE LUMEN TUBE INTUBATION INTUBATION;DIFFICULT

Contacts and locations

Locations

Ankara Atatürk Sanatoryum Training and Research Hospital

Ankara, Keçiören, 06290, Turkey (Türkiye)

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