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

Overview

Journal Curr Oncol

Publisher MDPI

Specialty Oncology

Date 2024 May 24

PMID 38785488

Authors

Garry Brydges

Abhineet Uppal

Vijaya Gottumukkala

Affiliations

Soon will be listed here.

Abstract

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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