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Development and Validation of an Artificial Intelligence Preoperative Planning System for Total Hip Arthroplasty.
Chen, Xi; Liu, Xingyu; Wang, Yiou; Ma, Ruichen; Zhu, Shibai; Li, Shanni; Li, Songlin; Dong, Xiying; Li, Hairui; Wang, Guangzhi; Wu, Yaojiong; Zhang, Yiling; Qiu, Guixing; Qian, Wenwei.
Afiliação
  • Chen X; Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
  • Liu X; School of Life Sciences, Tsinghua University, Beijing, China.
  • Wang Y; Institute of Biomedical and Health Engineering (iBHE), Tsinghua Shenzhen International Graduate School, Shenzhen, China.
  • Ma R; Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Zhu S; Longwood Valley Medical Technology Co. Ltd., Beijing, China.
  • Li S; Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
  • Li S; School of Medicine, Tsinghua University, Beijing, China.
  • Dong X; Department of Orthopedics, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
  • Li H; Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
  • Wang G; Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
  • Wu Y; Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
  • Zhang Y; Department of Plastic Surgery, Sichuan University West China Hospital, Chengdu, China.
  • Qiu G; Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Qian W; Institute of Biomedical and Health Engineering (iBHE), Tsinghua Shenzhen International Graduate School, Shenzhen, China.
Front Med (Lausanne) ; 9: 841202, 2022.
Article em En | MEDLINE | ID: mdl-35391886
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China