MedTrace Logo

Preoperative Airway Images for Difficult Airway Prediction

NCT07700485 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 319

Last updated 2026-07-14

No results posted yet for this study

Summary

This prospective observational study will evaluate whether commonly available multimodal artificial intelligence models can predict difficult laryngoscopy and difficult intubation using standardized preoperative airway photographs. Adult patients scheduled for elective surgery requiring endotracheal intubation will undergo an eight-view preoperative airway photography protocol. The anonymized image sets will be assessed by ChatGPT, Gemini, and Grok using the same structured prompt. Their predictions will be compared with expert anesthesiologist image-based assessments, conventional airway evaluation findings, and prospectively recorded intraoperative airway outcomes. The primary aim is to determine the diagnostic performance of AI models for predicting difficult intubation. A key secondary aim is to evaluate their performance for predicting difficult laryngoscopy. The study is intended to explore whether image-based AI assessment may support preoperative airway risk stratification as a clinician-supervised screening tool.

Conditions

  • Difficult Intubation
  • Difficult Laryngoscopy

Sponsors & Collaborators

  • Memorial Atasehir Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-06-25
Primary Completion
2026-09-01
Completion
2026-09-01

Countries

  • Turkey (Türkiye)

Study Locations

More Related Trials

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 NCT07700485 on ClinicalTrials.gov