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

NCT07411495 | Active Not Recruiting

• 1 other identifier: 2021/00908
• Study Type: observational
• Target: 1,000
• Locations: 1 country
• Sites: 1

Brief 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.

Conditions

Anaesthesia

Keywords

difficult airway; General anaesthesia

Outcome Measures

Primary Outcomes (1)

• Accuracy of AINFAS in Predicting Difficult Airways

  To identify and characterize the key predictive parameters that contribute to the AI system's overall ability to detect difficult airways.

  Assessment will occur from the time of preoperative AI analysis through to the completion of the intubation procedure, typically within 48 hours.

Secondary Outcomes (1)

• Identification of Novel Predictors of Difficult Airways

  Data analysis will be conducted after completion of all participant procedures, typically within 2 years of the last participant's assessment.

Study Arms (1)

General anaesthesia surgery

Other: AI-Assisted Preoperative Airway Risk Assessment

Interventions

AI-Assisted Preoperative Airway Risk Assessment OTHER

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.

General anaesthesia surgery

Eligibility Criteria

• Age: 21 Years - 100 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Patients that undergoing surgery in National University Hospital Singapore Only.

You may qualify if:

• Undergoing surgery under general anaesthesia requiring endotracheal intubation or supraglottic airway
• years old

You may not qualify if:

• Age less than 21 years
• Patients with prior surgery with altered facial appearance
• Patients with tracheostomy
• Patients with any oropharyngeal pathology
• Patients with nasopharyngeal carcinoma post radiotherapy or chemotherapy
• Pregnant females
• Patients whose physicians did not use a laryngoscope or supraglottic airway

Sponsors & Collaborators

• National University Hospital, Singapore: lead
• National University of Singapore: collaborator

Study Sites (1)

National University Hospital Singapore

Singapore, 119074, Singapore

Location

Study Officials

• Will Ne-Hooi Loh

  National University Hospital, Singapore

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: December 21, 2025
• First Posted: February 13, 2026
• Study Start: May 17, 2022
• Primary Completion: January 24, 2025
• Study Completion (Estimated): December 1, 2026
• Last Updated: February 13, 2026

Record last verified: 2025-12

Data Sharing

• IPD Sharing: Will not share

Locations

SG (1)