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Evaluating Pelvic Tilt Using the Pelvic Antero-Posterior Projection Images: A Systematic Review.
Chai, Yuan; Boudali, A Mounir; Khadra, Sam; Dasgupta, Amrita; Maes, Vincent; Walter, William L.
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  • Chai Y; Sydney Musculoskeletal Health and The Kolling Institute, Northern Clinical School, Faculty of Medicine and Health and the Northern Sydney Local Health District, The University of Sydney, Sydney, New South Wales, Australia.
  • Boudali AM; Sydney Musculoskeletal Health and The Kolling Institute, Northern Clinical School, Faculty of Medicine and Health and the Northern Sydney Local Health District, The University of Sydney, Sydney, New South Wales, Australia.
  • Khadra S; Faculty of Medicine and Health, Central Clinical School, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.
  • Dasgupta A; Faculty of Medicine and Health, Northern Clinical School, University of Sydney, Sydney, New South Wales, Australia; Department of General Surgery, Tan Tock Seng Hospital, Singapore.
  • Maes V; Department of Orthopaedics and Traumatic Surgery, Royal North Shore Hospital, St. Leonards, New South Wales, Australia; Department of Orthopaedic Surgery, University Hospitals Leuven, Leuven, Belgium.
  • Walter WL; Sydney Musculoskeletal Health and The Kolling Institute, Northern Clinical School, Faculty of Medicine and Health and the Northern Sydney Local Health District, The University of Sydney, Sydney, New South Wales, Australia; Department of Orthopaedics and Traumatic Surgery, Royal North Shore Hospital,
J Arthroplasty ; 39(4): 1108-1116.e2, 2024 Apr.
Article en En | MEDLINE | ID: mdl-37871860
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Pelvis / Inteligencia Artificial Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: J Arthroplasty Asunto de la revista: ORTOPEDIA Año: 2024 Tipo del documento: Article País de afiliación: Australia
Texto completo
Añadir a Mi BVS
Imprimir
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PubMed Links
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Pelvis / Inteligencia Artificial Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: J Arthroplasty Asunto de la revista: ORTOPEDIA Año: 2024 Tipo del documento: Article País de afiliación: Australia