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Poster 221: Application of Machine Learning to Diagnose Patellar Instability on MRI Using a Data-Driven Model
OBJECTIVES: Patellar instability has multiple anatomic risk factors including trochlear dysplasia, patella alta and tuberosity lateralization. However, the exact contribution of each factor on patellar stability has not been clearly delineated due to the fact that 1) each abnormality exists along a...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340937/ http://dx.doi.org/10.1177/2325967121S00782 |