Machine-Learning Implementation in Clinical Anesthesia: Opportunities and Challenges.

Journal: Anesthesia and analgesia

Published Date: Jun 1, 2020

Abstract

No abstract available for this article.

Authors

Danton S Char

From the Department of Anesthesiology, Division of Pediatric Cardiac Anesthesia (D.S.C.), the Center for Biomedical Ethics (D.S.C., D.M.), and the Center for Biomedical Informatics Research (N.S.), Stanford University School of Medicine, Stanford, CA.
Alyssa Burgart

Keywords

Anesthesia Clinical Competence Confidentiality Data Collection Decision Making Decision Support Systems, Clinical Electronic Health Records Europe Humans Machine Learning Medical Informatics Point-of-Care Systems United States United States Food and Drug Administration Workflow

External Resources

View on PubMed Access via DOI PubMed (31922996)

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