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Facial Analysis to Classify Difficult Intubation

Wake Forest University Health Sciences · NCT01612949

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Opens the official ClinicalTrials.gov record, with the study team’s contacts. Bored Studies doesn’t enroll anyone.

Key facts

Compensation
Not posted. Ask the study team before screening.
Who can join
Ages 18–99 · All sexes
Healthy volunteers
Accepted
Study type
Observational
Target enrollment
3500
US sites recruiting
1
Study start
May 2012
Record last updated
April 1, 2026

Status re-checked against ClinicalTrials.gov within the last 12 hours.

What the study is about

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.

Being studied: photographing head and neck

Conditions: Difficult Intubation

Eligibility criteria

Copied from the official record. The study team makes the final decision at screening.

Show full criteria

Inclusion Criteria

  • Patients requiring endotracheal intubation
  • Patients consenting to acquisition of photographic images of the head and neck

Exclusion Criteria

  • Patients who had undergone head or neck surgery
  • Patients in whom central venous catheters or other interventions that prevent full view of the features of the face in frontal and profile views
  • Patients who were neither easy nor difficult to intubate by our criteria

Recruiting US locations

  • Wake Forest Baptist Medical Center

    Winston-Salem, NC 27157

    Site contact: Scott Segal, MD · 336-716-4497

Study contacts (from the official record)

  • Scott Segal, MD, MHCM · (336) 716-7084 · B.Segal@wfusm.edu
  • Angela Goodson · 336-716-4497 · agoodson@wakehealth.edu
Facial Analysis to Classify Difficult Intubation (NCT01612949) | Bored Studies