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To Create an Artificial Intelligence-enabled Device for Airway Assessment (AINFAS) to Identify Patients With Difficult Airway Pre-operatively.
Sponsor: National University Hospital, Singapore
Summary
We're developing a new AI, which uses advanced computer technology to help doctors identify patients who might have a difficult airway before surgery or emergency procedures. Sometimes, when a person needs help breathing, doctors have to insert a tube into their airway. This can be challenging for some people due to the shape of their mouth, throat, or neck. We hope that AI will look at a patient's facial features to predict if there might be any difficulties.
Official title: Artificial INtelligence eNabled 3D Facial Scanner for Airway Assessment (AINFAS)
Key Details
Gender
All
Age Range
21 Years - 100 Years
Study Type
OBSERVATIONAL
Enrollment
1000
Start Date
2022-05-17
Completion Date
2026-12
Last Updated
2026-02-13
Healthy Volunteers
No
Conditions
Interventions
AI-Assisted Preoperative Airway Risk Assessment
participants having their photograph taken using a tablet device following a standardized protocol to capture relevant facial and neck features. These photographs will then be analyzed using software, which assesses the images for potential indicators of a difficult airway.
Locations (1)
National University Hospital Singapore
Singapore, Singapore