Machine learning-augmented interventions in perioperative care: a systematic review and meta-analysis.

Journal: British journal of anaesthesia
PMID: 39322472

Abstract

BACKGROUND: We lack evidence on the cumulative effectiveness of machine learning (ML)-driven interventions in perioperative settings. Therefore, we conducted a systematic review to appraise the evidence on the impact of ML-driven interventions on perioperative outcomes.

Authors

  • Divya Mehta
    Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA.
  • Xiomara T Gonzalez
    Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Grace Huang
    Medical Education, Washington University School of Medicine, St. Louis, MO, USA.
  • Joanna Abraham
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.

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