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Facial Analysis to Classify Difficult Intubation

NCT01612949 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 3500

Last updated 2026-04-01

No results posted yet for this study

Summary

The aim of this project is to develop a computer algorithm that can accurately predict how easy or difficult it is to intubate a patient based upon digital photographs from three different perspectives. Such an application can provide a consistent, quantitative measure of intubation difficulty by analyzing facial features in captured photographs - features which have previously been shown to correlate with how easy or how hard it would be to perform the intubation procedure. This is in contrast to established subjective protocols that also serve to predict intubation difficulty, albeit with lower accuracy. A digital application has the potential to decrease potential complications related to intubation difficulty and increase patient safety.

Conditions

  • Difficult Intubation

Interventions

OTHER

photographing head and neck

Taking three photographs of head and neck-one photograph from front, one from left and one fron right. The photographs are analyzed by facial structure software to create face model.

Sponsors & Collaborators

  • Wake Forest University Health Sciences

    lead OTHER

Principal Investigators

  • Scott Segal, MD, MHCM · Wake Forest University Health Sciences

Eligibility

Min Age
18 Years
Max Age
99 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2012-05-31
Primary Completion
2027-12-31
Completion
2027-12-31

Countries

  • United States

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 NCT01612949 on ClinicalTrials.gov