Comparison of Endotracheal Intubation Performance Using Video Laryngoscopy With and Without AI-Based Visual Assistance: A Manikin Pilot Study

Abstract

This study investigated whether artificial intelligence (AI)-based visual assistance in video laryngoscopy (VL) could be a solution to reduce the technique's learning curve. Twenty volunteers with no prior intubation experience were randomly assigned to 2 equal groups: standard VL or AI-enhanced VL (AI-VL). Participants performed 10 consecutive intubations. The AI-VL group showed a trend toward steeper learning curves for intubation time (P > .05). The AI system functioned as a real-time virtual instructor, which provided visual feedback that helped maintain Cormack-Lehane (C-L) views.

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