Personalized Prediction of Total Knee Arthroplasty Mechanics Based on Sparse Input Data—Model Validation Using In Vivo Force Data

Personalized Prediction of Total Knee Arthroplasty Mechanics Based on Sparse Input Data—Model Validation Using In Vivo Force Data

<b>Background/Objectives:</b> Computational models are increasingly used in orthopedic research, such as in the context of total knee arthroplasty (TKA). However, the models’ actual integration in clinical practice is far from routine. Major limitations include the amount of input data,...

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Bibliographic Details
Main Authors: Sonja Ehreiser, Malte Asseln, Klaus Radermacher
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Biomechanics
Subjects:
multi-body simulation
total knee arthroplasty
tibiofemoral contact forces
clinical application
in vivo validation
grand challenge competition
Online Access:https://www.mdpi.com/2673-7078/5/1/8
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