Diagnostic performance of deep learning for leg length measurements on radiographs in leg length discrepancy: A systematic review
Bradley A. Lezak,
James A. Pruneski,
Jacob F. Oeding
et al.
Abstract:PurposeTo 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 treatment of LLD.MethodsA systematic electronic search was conducted using PubMed, OVID/Medline and Cochrane libraries in accordance with Preferred Reporting Items for Systematic Review and Meta‐Analysis guidelines. Two observ… Show more
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