AI-assisted Endotracheal Intubation

Artificial intelligence is increasingly being applied in clinical medicine, including airway management. Machine vision algorithms have recently been developed to recognize airway anatomy and provide guidance during endotracheal intubation. LarynGuide is an AI-based system designed to guide endotracheal tube placement using real-time visual prompts during videolaryngoscopy. This study aims to evaluate whether AI-assisted intubation is equivalent to conventional videolaryngoscopy in terms of time required for intubation and whether AI guidance improves success rates or usability. This prospective randomized controlled simulation trial will recruit healthcare providers with varying levels of airway management experience. Participants will receive a short training session with the AI system and then will be randomized to perform intubations using either AI-assisted videolaryngoscopy or conventional videolaryngoscopy. Each participant will perform intubations on both pediatric and neonatal airway mannequins in a simulation setting. Outcomes including intubation time, success rate, number of attempts, POGO score, gaze tracking metrics, and user satisfaction will be collected. The study will be conducted at the Hospital for Sick Children Simulation Centre in Toronto, Canada.