NCT07411495

To Create an Artificial Intelligence-enabled Device for Airway Assessment (AINFAS) to Identify Patients With Difficult Airway Pre-operatively.

Artificial INtelligence eNabled 3D Facial Scanner for Airway Assessment (AINFAS)

• Status: Active Not Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 1,000 (actual)
• Sponsor: National University Hospital, Singapore · Academic / Other
• Sex: All
• Age: 21 Years – 100 Years
• Healthy volunteers: Not accepted

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.

Detailed description

AINFAS (Artificial Intelligence-enabled system for airway assessment) is an innovative AI system we're developing to revolutionize airway management in healthcare. This advanced artificial intelligence is designed to analyze patient characteristics and predict potential difficulties in airway management before any medical procedure that might require breathing assistance. Using sophisticated machine learning algorithms, AINFAS processes data such as facial structure and neck anatomy to assess the likelihood of a difficult airway. This non-invasive, rapid assessment tool has potential applications across various healthcare settings, including pre-operative assessments, emergency departments, intensive care units, and even pre-hospital care. By providing early identification of potential airway challenges, AINFAS aims to enhance patient safety, improve resource allocation, and provide a standardized, objective method of airway assessment. Currently in development and testing, this AI system represents a significant step forward in using technology to enhance clinical decision-making and patient safety in critical aspects of medical care.

Conditions

• Anaesthesia

Interventions

Type	Name	Description
OTHER	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.

Timeline

• Start date: 2022-05-17
• Primary completion: 2025-01-24
• Completion: 2026-12-01
• First posted: 2026-02-13
• Last updated: 2026-02-13

Locations

1 site across 1 country: Singapore