Current Oncology (May 2024)

Application of Machine Learning in Predicting Perioperative Outcomes in Patients with Cancer: A Narrative Review for Clinicians

  • Garry Brydges,
  • Abhineet Uppal,
  • Vijaya Gottumukkala

DOI
https://doi.org/10.3390/curroncol31050207
Journal volume & issue
Vol. 31, no. 5
pp. 2727 – 2747

Abstract

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This narrative review explores the utilization of machine learning (ML) and artificial intelligence (AI) models to enhance perioperative cancer care. ML and AI models offer significant potential to improve perioperative cancer care by predicting outcomes and supporting clinical decision-making. Tailored for perioperative professionals including anesthesiologists, surgeons, critical care physicians, nurse anesthetists, and perioperative nurses, this review provides a comprehensive framework for the integration of ML and AI models to enhance patient care delivery throughout the perioperative continuum.

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