Validation of an artificial intelligence-based method to automate Cobb angle measurement on spinal radiographs of children with adolescent idiopathic scoliosis.

Wong, Jason C; Reformat, Marek Z; Parent, Eric C; Stampe, Kyle P; Southon Hryniuk, Sarah C; Lou, Edmond H

Wong, Jason C; Reformat, Marek Z; Parent, Eric C; Stampe, Kyle P; Southon Hryniuk, Sarah C; Lou, Edmond H.

Afiliação

Wong JC; Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada.
Reformat MZ; Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada.
Parent EC; Department of Physical Therapy, University of Alberta, Edmonton, Canada.
Stampe KP; Department of Surgery, University of Alberta, Edmonton, Canada.
Southon Hryniuk SC; Department of Surgery, University of Alberta, Edmonton, Canada.
Lou EH; Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada - elou@ualberta.ca.

Eur J Phys Rehabil Med ; 59(4): 535-542, 2023 Aug.

Article em En | MEDLINE | ID: mdl-37746786

Assuntos

Inteligência Artificial; Escoliose; Humanos; Adolescente; Criança; Estudos Transversais; Reprodutibilidade dos Testes; Estudos Retrospectivos; Escoliose/diagnóstico por imagem

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

Texto completo

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PubMed Links

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