Bias and ethical considerations in machine learning and the automation of perioperative risk assessment.

Journal: British journal of anaesthesia
Published Date:

Abstract

No abstract available for this article.

Authors

  • Vikas N O'Reilly-Shah
    Department of Anesthesiology and Pain Medicine, University of Washington School of Medicine, Seattle, WA, USA; Department of Anesthesiology and Pain Medicine, Seattle Children's Hospital, Seattle, WA, USA. Electronic address: voreill@uw.edu.
  • Katherine R Gentry
    Department of Anesthesiology and Pain Medicine, University of Washington School of Medicine, Seattle, WA, USA; Department of Anesthesiology and Pain Medicine, Seattle Children's Hospital, Seattle, WA, USA.
  • Andrew M Walters
    Department of Anesthesiology and Pain Medicine, University of Washington School of Medicine, Seattle, WA, USA.
  • Joel Zivot
    Department of Anesthesiology, Emory University, Atlanta, GA, USA.
  • Corrie T Anderson
    Department of Anesthesiology and Pain Medicine, University of Washington School of Medicine, Seattle, WA, USA; Department of Anesthesiology and Pain Medicine, Seattle Children's Hospital, Seattle, WA, USA.
  • Patrick J Tighe
    Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida, USA.