AI predicts tough intubations: could save lives in surgery

NCT ID NCT06453525

Recruiting now Knowledge-focused Sponsor: Centre Hospitalier Universitaire Vaudois Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study aims to create a portable, radiation-free software that uses facial recognition and neck movement analysis to predict how difficult it will be to place a breathing tube during anesthesia. Researchers will enroll 1800 adults undergoing planned surgery to test the software against expert assessments. The goal is to give anesthesiologists a reliable, objective tool to better prepare for each patient's airway needs.

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As listed by the trial registrant

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

AIRWAY COMPLICATION OF ANESTHESIA ANESTHESIA INTUBATION; DIFFICULT OR FAILED

Contacts and locations

Locations

University Hospital Lausanne CHUV
RECRUITING

Lausanne, 1011, Switzerland

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