AI-assisted Endotracheal Intubation

NCT07508826 | Completed

• 1 other identifier: 1000082159
• Study Type: interventional
• Target: 80
• Locations: 1 country
• Sites: 1

Brief Summary

This study evaluates artificial intelligence (AI)-assisted videolaryngoscopy for endotracheal intubation in a simulated pediatric airway environment. Healthcare providers with varying levels of airway management experience will perform intubations on pediatric and neonatal mannequins using either AI-assisted videolaryngoscopy (larynGuide) or conventional videolaryngoscopy. Participants will be randomized to perform intubation tasks using one of the two techniques. The primary outcome is the time required for successful intubation. Secondary outcomes include first-attempt success rate, number of attempts, airway visualization (POGO score), usability of the AI system measured by the System Usability Scale (SUS), and gaze tracking metrics evaluating user interaction with visual guidance. This equivalence randomized controlled trial aims to determine whether AI-assisted videolaryngoscopy performs comparably to conventional videolaryngoscopy while potentially improving success rates and user experience.

Conditions

Intubation Performance Using AI Versus Conventional Videolaryngoscope in a Mannikin

Keywords

intubation; mannikin; simulation; artificial intelligence; larynguide; neonates; infants; children

Outcome Measures

Primary Outcomes (1)

• Time required for intubation

  baseline, pre-intervention/procedure/surgery

Secondary Outcomes (2)

• First-attempt success rate

  baseline, pre-intervention/procedure/surgery

• POGO score

  baseline, pre-intervention/procedure/surgery

Other Outcomes (6)

• SUS score

  baseline, pre-intervention/procedure/surgery

• Translated POGO score

  baseline, pre-intervention/procedure/surgery

• Intubation status (good vs bad vs not started)

  baseline, pre-intervention/procedure/surgery

Study Arms (2)

AI-assisted videolaryngoscopy

EXPERIMENTAL

Participants perform simulated endotracheal intubation using videolaryngoscopy integrated with the AI guidance system

Other: AI-assisted videolaryngoscopy

Conventional videolaryngoscopy

ACTIVE COMPARATOR

Participants perform simulated endotracheal intubation using standard videolaryngoscopy without AI assistance.

Other: Conventional Intubation

Interventions

AI-assisted videolaryngoscopy OTHER

Participants perform simulated endotracheal intubation using videolaryngoscopy integrated with the AI guidance system

AI-assisted videolaryngoscopy

Conventional Intubation OTHER

Traditional intubation

Conventional videolaryngoscopy

Eligibility Criteria

• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

• Any healthcare worker or trainee

You may not qualify if:

• refusal to participate

Sponsors & Collaborators

• The Hospital for Sick Children: lead

Study Sites (1)

Hospital for Sick Children

Toronto, Canada

Location

Related Publications (2)

• Nemani S, Goyal S, Sharma A, Kothari N. Artificial intelligence in pediatric airway - A scoping review. Saudi J Anaesth. 2024 Jul-Sep;18(3):410-416. doi: 10.4103/sja.sja_110_24. Epub 2024 Jun 4.

  PMID: 39149736 BACKGROUND

• Matava C, Pankiv E, Ahumada L, Weingarten B, Simpao A. Artificial intelligence, machine learning and the pediatric airway. Paediatr Anaesth. 2020 Mar;30(3):264-268. doi: 10.1111/pan.13792. Epub 2020 Jan 2.

  PMID: 31845543 BACKGROUND

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: TREATMENT
• Intervention Model: CROSSOVER
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Model Details: Participants will be randomized to perform simulated endotracheal intubation using either AI-assisted videolaryngoscopy or conventional videolaryngoscopy. Each participant will perform intubation on both child and neonatal mannequins

Study Record Dates

• First Submitted: March 25, 2026
• First Posted: April 2, 2026
• Study Start: May 1, 2026
• Primary Completion: June 30, 2026
• Study Completion: July 20, 2026
• Last Updated: July 22, 2026

Record last verified: 2026-07

Data Sharing

• IPD Sharing: Will not share

Locations

CA (1)