Deep learning‐based facial analysis for predicting difficult videolaryngoscopy: a feasibility study

Summary While videolaryngoscopy has resulted in better overall success rates of tracheal intubation, airway assessment is still an important prerequisite for safe airway management. This study aimed to create an artificial intelligence model to identify difficult videolaryngoscopy using a neural net...

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Veröffentlicht in:	Anaesthesia 2024-04, Vol.79 (4), p.399-409
Hauptverfasser:	Xia, M., Jin, C., Zheng, Y., Wang, J., Zhao, M., Cao, S., Xu, T., Pei, B., Irwin, M. G., Lin, Z., Jiang, H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Deep learning difficult airway difficult laryngoscopy facial analysis Feasibility studies Machine learning Medical imaging Neural networks Performance prediction Prediction models Respiratory tract videolaryngoscopy
Online-Zugang:	Volltext
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