Artificial intelligence-assisted interventions for perioperative anesthetic management: a systematic review and meta-analysis.

Journal: BMC anesthesiology
PMID: 39232648

Abstract

BACKGROUND: Integration of artificial intelligence (AI) into medical practice has increased recently. Numerous AI models have been developed in the field of anesthesiology; however, their use in clinical settings remains limited. This study aimed to identify the gap between AI research and its implementation in anesthesiology via a systematic review of randomized controlled trials with meta-analysis (CRD42022353727).

Authors

  • Kensuke Shimada
    Graduate School of Comprehensive Human Sciences, University of Tsukuba, Ibaraki, Japan.
  • Ryota Inokuchi
    Department of Emergency and Critical Care Medicine, JR General Hospital, 2-1-3 Yoyogi, Shibuya-ku, Tokyo, 151-8528, Japan.
  • Tomohiro Ohigashi
    Department of Information and Computer Technology, Faculty of Engineering, Tokyo University of Science, Tokyo, Japan.
  • Masao Iwagami
    Department of Health Services Research, University of Tsukuba, Tsukuba, Japan.
  • Makoto Tanaka
    Department of Anesthesiology, Institute of Medicine, University of Tsukuba, Ibaraki, Japan.
  • Masahiko Gosho
    Department of Clinical Trial and Clinical Epidemiology, Faculty of Medicine, University of Tsukuba, Tsukuba Ibaraki, Japan.
  • Nanako Tamiya
    Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.

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