作者
Daniel A Hashimoto, Elan Witkowski, Lei Gao, Ozanan Meireles, Guy Rosman
发表日期
2020/2/1
来源
Anesthesiology
卷号
132
期号
2
页码范围
379-394
简介
Artificial intelligence has been advancing in fields including anesthesiology. This scoping review of the intersection of artificial intelligence and anesthesia research identified and summarized six themes of applications of artificial intelligence in anesthesiology: (1) depth of anesthesia monitoring, (2) control of anesthesia, (3) event and risk prediction, (4) ultrasound guidance, (5) pain management, and (6) operating room logistics. Based on papers identified in the review, several topics within artificial intelligence were described and summarized: (1) machine learning (including supervised, unsupervised, and reinforcement learning), (2) techniques in artificial intelligence (e.g., classical machine learning, neural networks and deep learning, Bayesian methods), and (3) major applied fields in artificial intelligence.
The implications of artificial intelligence for the practicing anesthesiologist are discussed as are its …
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