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Artificial Intelligence-Assisted Ultrasound Assessment of Laryngeal Mask Airway Placement

NCT07766382 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2026-08-14

No results posted yet for this study

Summary

This prospective observational study aims to develop and evaluate artificial intelligence-based models for the assessment of laryngeal mask airway (LMA) placement in adult patients undergoing elective surgery under general anesthesia. Following LMA insertion, standardized airway ultrasound images will be obtained and fiberoptic assessment will be performed as the anatomical reference standard. Fiberoptic findings will be classified as optimal (Brimacombe grades 3-4) or suboptimal (grades 1-2). Clinical and quantitative airway ultrasound variables will also be recorded. The predictive performance of tabular, image-only, and multimodal artificial intelligence models will be evaluated for identifying optimal versus suboptimal LMA placement.

Conditions

  • Airway Management

Sponsors & Collaborators

  • Duzce University

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-08-10
Primary Completion
2027-05-01
Completion
2027-05-15

Countries

  • Turkey (Türkiye)

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07766382 on ClinicalTrials.gov