AI-assisted Endotracheal Intubation

ConditionIntubation Performance Using AI Versus Conventional Videolaryngoscope in a Mannikin

Trial statusNot yet recruiting

Trial phaseNot applicable

Trial typeInterventional

Biological sexAll

AgeNot listed

SponsorThe Hospital for Sick Children

About this trial

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.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

Any healthcare worker or trainee

Disqualifiers

refusal to participate

Trial design

Design model

Crossover

Treatments tested in this trial

AI-assisted videolaryngoscopy
Other intervention
Participants perform simulated endotracheal intubation using videolaryngoscopy integrated with the AI guidance system
Conventional Intubation
Other intervention
Traditional intubation

Treatment groups

40 Participants

are divided into 2 treatment groups

Group A: AI-assisted videolaryngoscopyExperimental treatment 1 intervention

Group B: Conventional videolaryngoscopyActive comparator 1 intervention