Machine learning model for predicting the optimal depth of tracheal tube insertion in pediatric patients: A retrospective cohort study.
Jae-Geum ShimKyoung-Ho RyuSung Hyun LeeEun-Ah ChoSungho LeeJin Hee AhnPublished in: PloS one (2021)
In this study, the machine learning models predicted the optimal tracheal tube tip location for pediatric patients more accurately than the formula-based methods. Machine learning models using biometric variables may help clinicians make decisions regarding optimal tracheal tube depth in pediatric patients.