Newly Published
Editorial Views  |   August 2018
Artificial Intelligence for Anesthesia: What the Practicing Clinician Needs to Know: More than Black Magic for the Art of the Dark
Author Notes
  • From the Departments of Anesthesiology (M.R.M., S.K.); Computational Medicine and Bioinformatics (K.N.); and Emergency Medicine (K.N.), University of Michigan Health System, Ann Arbor, Michigan.
  • Accepted for publication July 9, 2018.
    Accepted for publication July 9, 2018.×
  • Research Support: All work and partial funding attributed to the Department of Anesthesiology, University of Michigan Medical School (Ann Arbor, Michigan). This editorial review described was supported in part by the National Heart, Lung, and Blood Institute of the National Institutes of Health (Bethesda, Maryland), grant No. 1K01HL141701-01. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
    Research Support: All work and partial funding attributed to the Department of Anesthesiology, University of Michigan Medical School (Ann Arbor, Michigan). This editorial review described was supported in part by the National Heart, Lung, and Blood Institute of the National Institutes of Health (Bethesda, Maryland), grant No. 1K01HL141701-01. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.×
  • Competing Interests: Dr. Najarian has developed algorithmic technologies for prediction of cardiac events that have been licensed to Trove Analytics, Inc. (Silicon Valley, California), and New Vital Signs, Inc. (Ann Arbor, Michigan). The other authors are not supported by, nor maintain any financial interest in, any commercial activity that may be associated with the topic of this article.
    Competing Interests: Dr. Najarian has developed algorithmic technologies for prediction of cardiac events that have been licensed to Trove Analytics, Inc. (Silicon Valley, California), and New Vital Signs, Inc. (Ann Arbor, Michigan). The other authors are not supported by, nor maintain any financial interest in, any commercial activity that may be associated with the topic of this article.×
  • Correspondence: Address correspondence to Dr. Mathis: mathism@med.umich.edu
Article Information
Editorial Views
Editorial Views   |   August 2018
Artificial Intelligence for Anesthesia: What the Practicing Clinician Needs to Know: More than Black Magic for the Art of the Dark
Anesthesiology Newly Published on August 3, 2018. doi:10.1097/ALN.0000000000002384
Anesthesiology Newly Published on August 3, 2018. doi:10.1097/ALN.0000000000002384
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