Actively Recruiting
Facial Analysis to Classify Difficult Intubation
Led by Wake Forest University Health Sciences · Updated on 2026-04-01
3500
Participants Needed
1
Research Sites
813 weeks
Total Duration
On this page
AI-Summary
What this Trial 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.
CONDITIONS
Official Title
Facial Analysis to Classify Difficult Intubation
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients requiring endotracheal intubation
- Patients consenting to acquisition of photographic images of the head and neck
You will not qualify if you...
- Patients who had undergone head or neck surgery
- Patients with central venous catheters or other devices preventing full view of the face from front and profile
- Patients who were neither easy nor difficult to intubate by the study's criteria
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Wake Forest Baptist Medical Center
Winston-Salem, North Carolina, United States, 27157
Actively Recruiting
Research Team
S
Scott Segal, MD, MHCM
CONTACT
A
Angela Goodson
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
5
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