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

Authors

Divya Mehta, Washington University School of Medicine in St. Louis
Xiomara T Gonzalez, University of Texas at Austin
Grace Huang, Washington University School of Medicine in St. Louis
Joanna Abraham, Washington University School of Medicine in St. Louis

Journal

British Journal of Anaesthesia

Publication Date

12-1-2024

Volume

133

Issue

6

First Page

1159

Last Page

1172

Document Type

Open Access Publication

DOI

10.1016/j.bja.2024.08.007

Rights and Permissions

Mehta D, Gonzalez XT, Huang G, Abraham J. Machine learning-augmented interventions in perioperative care: a systematic review and meta-analysis. Br J Anaesth. 2024 Dec;133(6):1159-1172. doi: 10.1016/j.bja.2024.08.007 © 2024 The Author(s). Published by Elsevier Ltd on behalf of British Journal of Anaesthesia. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Recommended Citation

Mehta, Divya; Gonzalez, Xiomara T; Huang, Grace; and Abraham, Joanna, "Machine learning-augmented interventions in perioperative care: A systematic review and meta-analysis." British Journal of Anaesthesia. 133, 6. 1159 - 1172. (2024).
https://digitalcommons.wustl.edu/oa_4/5021

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.