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

BACKGROUND: Unanticipated 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 ane...

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Detalles Bibliográficos
Autores principales: Pei, Bei, Jin, Chenyu, Cao, Shuang, Ji, Ningning, Xia, Ming, Jiang, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447910/
https://www.ncbi.nlm.nih.gov/pubmed/37636580
http://dx.doi.org/10.3389/fmed.2023.1203023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447910/
https://www.ncbi.nlm.nih.gov/pubmed/37636580
http://dx.doi.org/10.3389/fmed.2023.1203023

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