Improving Resource Utilization for Arthroplasty Care by Leveraging Machine Learning and Optimization: A Systematic Review

Improving Resource Utilization for Arthroplasty Care by Leveraging Machine Learning and Optimization: A Systematic Review

Background: There is a growing demand for total joint arthroplasty (TJA) surgery. The applications of machine learning (ML), mathematical optimization, and computer simulation have the potential to improve efficiency of TJA care delivery through outcome prediction and surgical scheduling optimizatio...

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Bibliographic Details
Main Authors: Bahar Entezari, BMSc, Robert Koucheki, HBSc, Aazad Abbas, HBSc, Jay Toor, MD, MBA, Jesse I. Wolfstadt, MD, MSc, FRCSC, Bheeshma Ravi, MD, PhD, FRCSC, Cari Whyne, PhD, FIOR, Johnathan R. Lex, MB, ChB
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Arthroplasty Today
Subjects:
Artificial intelligence
Predictive modeling
Surgical scheduling
Optimization
Total knee arthroplasty
Total hip arthroplasty
Online Access:http://www.sciencedirect.com/science/article/pii/S2352344123000213

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http://www.sciencedirect.com/science/article/pii/S2352344123000213

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