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

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

IntroductionAccurate 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.MethodsA validated finite element (FE) model...

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Bibliographic Details
Main Authors: Chase Maag, Clare K. Fitzpatrick, Paul J. Rullkoetter
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
machine learning
total knee replacement
kinematics
kinetics
finite element
computational biomechanics
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2024.1461768/full
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