Diagnostic performance of deep learning for leg length measurements on radiographs in leg length discrepancy: A systematic review

Abstract Purpose To systematically review the literature regarding machine learning in leg length discrepancy (LLD) and to provide insight into the most relevant manuscripts on this topic in order to highlight the importance and future clinical implications of machine learning in the diagnosis and t...

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Detalhes bibliográficos

Principais autores:	Bradley A. Lezak, James A. Pruneski, Jacob F. Oeding, Kyle N. Kunze, Riley J. Williams III, Michael J. Alaia, Andrew D. Pearle, Joshua S. Dines, Kristian Samuelsson, Ayoosh Pareek
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2024-10-01
coleção:	Journal of Experimental Orthopaedics
Assuntos:	artificial intelligence deep learning diagnostic imaging machine learning orthopaedics
Acesso em linha:	https://doi.org/10.1002/jeo2.70080
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