Artificial Intelligence in Anesthesiology: Current Techniques, Clinical Applications, and Limitations.

ABSTRACT: 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 applie

SUBMITTER: Hashimoto DA 

PROVIDER: S-EPMC7643051 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature