Artificial Intelligence Autonomously Measures Cup Orientation, Corrects for Pelvis Orientation, and Identifies Retroversion From Antero-Posterior Pelvis Radiographs.

Murphy, Michael P; Killen, Cameron J; Winfrey, Sara R; Schmitt, Daniel R; Hopkinson, William J; Wu, Karen; Brown, Nicholas M

Murphy, Michael P; Killen, Cameron J; Winfrey, Sara R; Schmitt, Daniel R; Hopkinson, William J; Wu, Karen; Brown, Nicholas M.

Afiliação

Murphy MP; Department of Orthopaedic Surgery and Rehabilitation, Loyola University Medical Center, Maywood, Illinois.
Killen CJ; Department of Orthopaedic Surgery and Rehabilitation, Loyola University Medical Center, Maywood, Illinois.
Winfrey SR; Department of Orthopaedic Surgery and Rehabilitation, Loyola University Medical Center, Maywood, Illinois.
Schmitt DR; Department of Orthopaedic Surgery and Rehabilitation, Loyola University Medical Center, Maywood, Illinois.
Hopkinson WJ; Department of Orthopaedic Surgery and Rehabilitation, Loyola University Medical Center, Maywood, Illinois.
Wu K; Department of Orthopaedic Surgery and Rehabilitation, Loyola University Medical Center, Maywood, Illinois.
Brown NM; Department of Orthopaedic Surgery and Rehabilitation, Loyola University Medical Center, Maywood, Illinois.

J Arthroplasty ; 38(7 Suppl 2): S319-S323, 2023 07.

Article em En | MEDLINE | ID: mdl-36893991

Assuntos

Artroplastia de Quadril; Inteligência Artificial; Pelve; Pelve/diagnóstico por imagem; Pelve/cirurgia; Humanos; Prótese de Quadril

Palavras-chave

abduction; acetabular component orientation; anteversion; inclination; total hip arthroplasty

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pelve / Inteligência Artificial / Artroplastia de Quadril Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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