Artificial intelligence and machine learning are rapidly expanding fields with increasing relevance in anesthesia and, in particular, airway management.
The ability of artificial intelligence and machine learning algorithms to recognize patterns from large volumes of complex data makes them attractive for use in pediatric anesthesia airway management.
The purpose of this review is to introduce artificial intelligence, machine learning, and deep learning to the pediatric anesthesiologist. Current evidence and developments in artificial intelligence, machine learning, and deep learning relevant to pediatric airway management are presented.
SourceClyde Matava, Evelina Pankiv, Luis Ahumada, et Al. Artificial intelligence, machine learning and the pediatric airway Pediatric Anesthesia https://doi.org/10.1111/pan.13792
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