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Active Not Recruiting NCT07700485

Preoperative Airway Images for Difficult Airway Prediction

Conditions: Difficult Intubation, Difficult Laryngoscopy

Sex: All
Ages: 18 Years – N/A
Healthy volunteers: No
Enrollment: 319
Sponsor: Memorial Atasehir Hospital

Location: Dr. Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital Istanbul Kadıköy

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.

Eligibility Criteria

Inclusion Criteria: * Age 18 years or older * Scheduled for elective surgery requiring endotracheal intubation * Able to cooperate with the standardized preoperative airway photography protocol * Able to provide written informed consent Exclusion Criteria: * Age younger than 18 years * Emergency surgery * Refusal or inability to provide informed consent * Inability to cooperate with the standardized photographic protocol * Known craniofacial or cervical deformity * History of major head and neck surgery or radiotherapy * Obstruction of key anatomical landmarks by facial hair, dressings, cervical collars, or other external devices * Incomplete or poor-quality image sets despite repeated acquisition * Missing clinical airway assessment data * No endotracheal intubation performed * Airway difficulty could not be reliably evaluated * Planned awake fiberoptic intubation or other preplanned advanced airway technique because of known difficult airway

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View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT07700485). StuddyBuddy aggregates publicly available trial information.