Artificial Intelligence in Perioperative Care: Opportunities and Challenges.

Journal: Anesthesiology
Published Date: Aug 1, 2024

Abstract

Artificial intelligence (AI) applications have great potential to enhance perioperative care. This paper explores promising areas for AI in anesthesiology; expertise, stakeholders, and infrastructure for development; and barriers and challenges to implementation.

Authors

  • Lichy Han
    Biomedical Informatics Training Program, Stanford University, Stanford, CA, USA.
  • 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.
  • Nima Aghaeepour
    Departments of Anesthesiology, Pain, and Peri-operative Medicine and Biomedical Data Sciences, Stanford University, Stanford, CA, USA.

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