Predicting anterior cruciate ligament failure load with T2* relaxometry and machine learning as a prospective imaging biomarker for revision surgery
Abstract Non-invasive methods to document healing anterior cruciate ligament (ACL) structural properties could potentially identify patients at risk for revision surgery. The objective was to evaluate machine learning models to predict ACL failure load from magnetic resonance images (MRI) and to det...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-03-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-30637-5 |