Deep Learning for Video-Based Assessment of Endotracheal Intubation Skills

arXiv:2404.11727v1 Announce Type: new
Abstract: Endotracheal intubation (ETI) is an emergency procedure performed in civilian and combat casualty care settings to establish an airway. Objective and automated assessment of ETI skills is essential for the training and certification of healthcare providers. However, the current approach is based on manual feedback by an expert, which is subjective, time- and resource-intensive, and is prone to poor inter-rater reliability and halo effects. This work proposes a framework to evaluate ETI skills using single …

abstract arxiv assessment automated certification combat cs.cv current deep learning emergency feedback healthcare healthcare providers however skills training type video