AI could help anesthesiologists spot tricky airways

NCT ID NCT06626204

Completed Knowledge-focused Sponsor: Min Su Source: ClinicalTrials.gov ↗

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.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for DIFFICULT AIRWAY are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

DIFFICULT AIRWAY

Contacts and locations

Locations

First Affiliated Hospital of Chongqing Medical University

Chongqing, Chongqing Municipality, 400016, China

More trials for these conditions

Other studies related to the condition(s) this trial covers.