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

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Bibliographic Details
Title: Diagnostic performance of deep learning for leg length measurements on radiographs in leg length discrepancy: A systematic review.
Authors: Lezak BA; NYU Langone Orthopedics NYU Langone Health New York New York USA., Pruneski JA; Department of Orthopaedic Surgery Tripler Army Medical Center Honolulu Hawaii USA., Oeding JF; Mayo Clinic Alix School of Medicine Rochester Minnesota USA., Kunze KN; Sports Medicine and Shoulder Service, Department of Orthopedic Surgery Hospital for Special Surgery New York New York USA., Williams RJ 3rd; Sports Medicine and Shoulder Service, Department of Orthopedic Surgery Hospital for Special Surgery New York New York USA., Alaia MJ; NYU Langone Orthopedics NYU Langone Health New York New York USA., Pearle AD; Sports Medicine and Shoulder Service, Department of Orthopedic Surgery Hospital for Special Surgery New York New York USA., Dines JS; Sports Medicine and Shoulder Service, Department of Orthopedic Surgery Hospital for Special Surgery New York New York USA., Samuelsson K; Department of Orthopaedics, Institute of Clinical Sciences, The Sahlgrenska Academy University of Gothenburg Gothenburg Sweden., Pareek A; Department of Orthopaedic Surgery Tripler Army Medical Center Honolulu Hawaii USA.
Source: Journal of experimental orthopaedics [J Exp Orthop] 2024 Nov 10; Vol. 11 (4), pp. e70080. Date of Electronic Publication: 2024 Nov 10 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 101653750 Publication Model: eCollection Cited Medium: Print ISSN: 2197-1153 (Print) Linking ISSN: 21971153 NLM ISO Abbreviation: J Exp Orthop Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2197-1153
DOI:10.1002/jeo2.70080