The prediction of surgical complications using artificial intelligence in patients undergoing major abdominal surgery: A systematic review.

Journal: Surgery
Published Date: Nov 18, 2021

Abstract

BACKGROUND: Conventional statistics are based on a simple cause-and-effect principle. Postoperative complications, however, have a multifactorial and interrelated etiology. The application of artificial intelligence might be more accurate to predict postoperative outcomes. The objective of this study was to determine the current quality of studies describing the use of artificial intelligence in predicting complications in patients undergoing major abdominal surgery.

Authors

  • Wessel T Stam
    Department of Gastrointestinal Surgery, Amsterdam UMC, VU University Medical Center, Amsterdam, the Netherlands.
  • Lotte K Goedknegt
    Department of Gastrointestinal Surgery, Amsterdam UMC, VU University Medical Center, Amsterdam, the Netherlands.
  • Erik W Ingwersen
    Department of Gastrointestinal Surgery, Amsterdam UMC, VU University Medical Center, Amsterdam, the Netherlands.
  • Linda J Schoonmade
    Medical Library, Amsterdam UMC, VU University Medical Center, Amsterdam, the Netherlands.
  • Emma R J Bruns
    Department of Gastrointestinal Surgery, Amsterdam UMC, VU University Medical Center, Amsterdam, the Netherlands.
  • Freek Daams
    Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, VU University, Amsterdam, The Netherlands.

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