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

Affiliations

¹ 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.
² 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.
³ Department of Anesthesiology and Pain Medicine, University of Washington School of Medicine, Seattle, WA, USA.
⁴ Department of Anesthesiology, Emory University, Atlanta, GA, USA.
⁵ Department of Anesthesiology, University of Florida, Gainesville, FL, USA.

Editorial

Vikas N O'Reilly-Shah et al. Br J Anaesth. 2020 Dec.

. 2020 Dec;125(6):843-846.

doi: 10.1016/j.bja.2020.07.040. Epub 2020 Aug 21.

¹ 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.
² 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.
³ Department of Anesthesiology and Pain Medicine, University of Washington School of Medicine, Seattle, WA, USA.
⁴ Department of Anesthesiology, Emory University, Atlanta, GA, USA.
⁵ Department of Anesthesiology, University of Florida, Gainesville, FL, USA.

No abstract available

Keywords: artificial intelligence; gender bias; healthcare inequality; machine learning; perioperative medicine; racial bias; risk prediction.

Comment in

Perioperative automation: Time to become artificial intelligence literate? Response to Br J Anaesth 2020; 125: 843-6.
Goldstein HV, Goldstein JC. Goldstein HV, et al. Br J Anaesth. 2021 Feb;126(2):e59-e61. doi: 10.1016/j.bja.2020.10.033. Epub 2020 Nov 27. Br J Anaesth. 2021. PMID: 33250182 No abstract available.

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