Geometric morphometrics and machine learning from three-dimensional facial scans for difficult mask ventilation prediction

Geometric morphometrics and machine learning from three-dimensional facial scans for difficult mask ventilation prediction

BackgroundUnanticipated difficult mask ventilation (DMV) is a potentially life-threatening event in anesthesia. Nevertheless, predicting DMV currently remains a challenge. This study aimed to verify whether three dimensional (3D) facial scans could predict DMV in patients scheduled for general anest...

Full description

Bibliographic Details
Main Authors: Bei Pei, Chenyu Jin, Shuang Cao, Ningning Ji, Ming Xia, Hong Jiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Medicine
Subjects:
difficult airway
difficult mask ventilation
predictive model
machine learning
three dimension scanning
geometric morphometrics
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1203023/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1203023/full

Similar Items