Article

Gait-to-Contact (G2C) - A novel deep learning framework to predict total knee replacement wear from gait patterns

2024-09-28

Abstract excerpt

<h4>Background</h4> Total knee replacement (TKR) is the most common inpatient surgery in the US. Studies leveraging finite element analysis (FEA) models have shown that variability of gait patterns can lead to significant variability of wear rates in TKR settings. However, FEA models can be resource-intensive and time-consuming to execute, hindering further research in this area. This study introduces a novel deep...

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Literature Corpus work: a2d9c46e-7cf0-5dd4-9947-7da2e71d0a75
DOI: 10.1101/2024.09.27.24314383

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