Evaluation of machine learning techniques for real-time prediction of implanted lower limb mechanics.

Journal: Frontiers in bioengineering and biotechnology
Published Date: Jan 15, 2025

Abstract

INTRODUCTION: Accurate prediction of knee biomechanics during total knee replacement (TKR) surgery is crucial for optimal outcomes. This study investigates the application of machine learning (ML) techniques for real-time prediction of knee joint mechanics.

Authors

  • Chase Maag
    DePuy Synthes, Warsaw, IN, United States.
  • Clare K Fitzpatrick
    Department of Mechanical and Biomedical Engineering, Boise State University, Boise, ID, United States.
  • Paul J Rullkoetter
    Center for Orthopaedic Biomechanics, University of Denver, Denver, CO, United States.

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