Predicting Progression in Adolescent Idiopathic Scoliosis at the First Visit by Integrating 2D Imaging and 1D Clinical Information.

Chu, Kenneth; Kuang, Xihe; Cheung, Prudence W H; Li, Sofia; Zhang, Teng; Cheung, Jason Pui Yin

Chu, Kenneth; Kuang, Xihe; Cheung, Prudence W H; Li, Sofia; Zhang, Teng; Cheung, Jason Pui Yin.

Afiliação

Chu K; Digital Health Laboratory, Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR, China.
Kuang X; Digital Health Laboratory, Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR, China.
Cheung PWH; Conova Medical Technology Limited, Hong Kong SAR, China.
Li S; Digital Health Laboratory, Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR, China.
Zhang T; Digital Health Laboratory, Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR, China.
Cheung JPY; Digital Health Laboratory, Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR, China.

Global Spine J ; : 21925682231211273, 2023 Oct 30.

Article em En | MEDLINE | ID: mdl-37903546

Palavras-chave

adolescent idiopathic scoliosis; deep learning; neural network; prediction; screening

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Global Spine J Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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