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Deep Learning for Video-Based Assessment of Endotracheal Intubation Skills
April 19, 2024, 4:44 a.m. | Jean-Paul Ainam, Erim Yanik, Rahul Rahul, Taylor Kunkes, Lora Cavuoto, Brian Clemency, Kaori Tanaka, Matthew Hackett, Jack Norfleet, Suvranu De
cs.CV updates on arXiv.org arxiv.org
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
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