Creation of an artificial intelligence model for intubation difficulty classification by deep learning (convolutional neural network) using face images: an observational study

Creation of an artificial intelligence model for intubation difficulty classification by deep learning (convolutional neural network) using face images: an observational study

Abstract Background Tracheal intubation is the gold standard for securing the airway, and it is not uncommon to encounter intubation difficulties in intensive care units and emergency rooms. Currently, there is a need for an objective measure to assess intubation difficulties in emergency situations...

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Bibliographic Details
Main Authors: Tatsuya Hayasaka, Kazuharu Kawano, Kazuki Kurihara, Hiroto Suzuki, Masaki Nakane, Kaneyuki Kawamae
Format: Article
Language:English
Published: BMC 2021-05-01
Series:Journal of Intensive Care
Subjects:
Tracheal intubation
Intubation difficulty
AI
Activation heat map
Online Access:https://doi.org/10.1186/s40560-021-00551-x

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