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Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data.
Wang, Robin; Jiao, Zhicheng; Yang, Li; Choi, Ji Whae; Xiong, Zeng; Halsey, Kasey; Tran, Thi My Linh; Pan, Ian; Collins, Scott A; Feng, Xue; Wu, Jing; Chang, Ken; Shi, Lin-Bo; Yang, Shuai; Yu, Qi-Zhi; Liu, Jie; Fu, Fei-Xian; Jiang, Xiao-Long; Wang, Dong-Cui; Zhu, Li-Ping; Yi, Xiao-Ping; Healey, Terrance T; Zeng, Qiu-Hua; Liu, Tao; Hu, Ping-Feng; Huang, Raymond Y; Li, Yi-Hui; Sebro, Ronnie A; Zhang, Paul J L; Wang, Jianxin; Atalay, Michael K; Liao, Wei-Hua; Fan, Yong; Bai, Harrison X.
Afiliación
  • Wang R; Department of Radiology, Xiangya Hospital, Central South University, Changsha, China.
  • Jiao Z; Department of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Yang L; Center for Biomedical Image Computation and Analytics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Choi JW; Department of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Xiong Z; Center for Biomedical Image Computation and Analytics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Halsey K; Department of Neurology, Second Xiangya Hospital, Central South University, Changsha, China.
  • Tran TML; Department of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, 02903, USA.
  • Pan I; Warren Alpert Medical School at Brown University, Providence, RI, USA.
  • Collins SA; Department of Radiology, Xiangya Hospital, Central South University, Changsha, China.
  • Feng X; Department of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, 02903, USA.
  • Wu J; Warren Alpert Medical School at Brown University, Providence, RI, USA.
  • Chang K; Department of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, 02903, USA.
  • Shi LB; Warren Alpert Medical School at Brown University, Providence, RI, USA.
  • Yang S; Department of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, 02903, USA.
  • Yu QZ; Department of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, 02903, USA.
  • Liu J; Carina Medical, Carina, Australia.
  • Fu FX; Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, China.
  • Jiang XL; Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Wang DC; Department of Radiology, Yongzhou Central Hospital, Yongzhou, China.
  • Zhu LP; Department of Radiology, Xiangya Hospital, Central South University, Changsha, China.
  • Yi XP; Department of Radiology, The First Hospital of Changsha, Changsha, China.
  • Healey TT; Department of Radiology, Changde Second People's Hospital, Changde, China.
  • Zeng QH; Department of Radiology, Yiyang City Center Hospital, Yiyang, China.
  • Liu T; Department of Radiology, Affiliated Nan Hua Hospital, University of South China, Hengyang, China.
  • Hu PF; Department of Radiology, Xiangya Hospital, Central South University, Changsha, China.
  • Huang RY; Department of Radiology, Xiangya Hospital, Central South University, Changsha, China.
  • Li YH; Department of Radiology, Xiangya Hospital, Central South University, Changsha, China.
  • Sebro RA; Department of Diagnostic Imaging, Rhode Island Hospital, Providence, RI, 02903, USA.
  • Zhang PJL; Department of Radiology, Loudi Central Hospital, Loudi, China.
  • Wang J; Brown University School of Public Health, Providence, RI, USA.
  • Atalay MK; Department of Radiology, Chenzhou Second People's Hospital, Chenzhou, China.
  • Liao WH; Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
  • Fan Y; Department of Radiology, Zhuzhou Central Hospital, Zhuzhou, China.
  • Bai HX; Department of Radiology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Eur Radiol ; 32(1): 205-212, 2022 Jan.
Article en En | MEDLINE | ID: mdl-34223954
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China