Machine learning based prediction of popliteal crease obliquity angle from step-down kinematics and its application in early osteoarthritis classification
Objective Early osteoarthritis (EOA) detection is crucial for timely intervention, yet current methods often fail to identify early-stage disease. The popliteal crease obliquity angle (PCOA) shows promise as a novel anatomical marker, but its relationship with functional movement patterns remains un...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
SAGE Publishing
2026-03-01
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| Col·lecció: | Digital Health |
| Accés en línia: | https://doi.org/10.1177/20552076261435079 |
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