Predicting optimal endotracheal tube size and depth in pediatric patients using demographic data and machine learning techniques

Background Use of endotracheal tubes (ETTs) with appropriate size and depth can help minimize intubation-related complications in pediatric patients. Existing age-based formulae for selecting the optimal ETT size present several inaccuracies. We developed a machine learning model that predicts the o...

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Bibliographic Details

Published in:	Korean Journal of Anesthesiology
Main Authors:	Hyeonsik Kim, Hyun-Kyu Yoon, Hyeonhoon Lee, Chul-Woo Jung, Hyung-Chul Lee
Format:	Article
Language:	English
Published:	Korean Society of Anesthesiologists 2023-12-01
Subjects:	airway management demography general anesthesia intratracheal intubation machine learning pediatrics
Online Access:	http://ekja.org/upload/pdf/kja-23501.pdf