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Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study.
Horvat, Natally; Veeraraghavan, Harini; Nahas, Caio S R; Bates, David D B; Ferreira, Felipe R; Zheng, Junting; Capanu, Marinela; Fuqua, James L; Fernandes, Maria Clara; Sosa, Ramon E; Jayaprakasam, Vetri Sudar; Cerri, Giovanni G; Nahas, Sergio C; Petkovska, Iva.
Afiliación
  • Horvat N; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.
  • Veeraraghavan H; Department of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil.
  • Nahas CSR; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Bates DDB; Department of Surgery, University of Sao Paulo, Sao Paulo, SP, Brazil.
  • Ferreira FR; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.
  • Zheng J; Department of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil.
  • Capanu M; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Fuqua JL; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Fernandes MC; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.
  • Sosa RE; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.
  • Jayaprakasam VS; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.
  • Cerri GG; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.
  • Nahas SC; Department of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil.
  • Petkovska I; Department of Surgery, University of Sao Paulo, Sao Paulo, SP, Brazil.
Abdom Radiol (NY) ; 47(8): 2770-2782, 2022 08.
Article en En | MEDLINE | ID: mdl-35710951
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias del Recto / Inteligencia Artificial Tipo de estudio: Observational_studies / Prognostic_studies / Qualitative_research Límite: Female / Humans / Male / Middle aged País/Región como asunto: America do sul / Brasil Idioma: En Revista: Abdom Radiol (NY) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias del Recto / Inteligencia Artificial Tipo de estudio: Observational_studies / Prognostic_studies / Qualitative_research Límite: Female / Humans / Male / Middle aged País/Región como asunto: America do sul / Brasil Idioma: En Revista: Abdom Radiol (NY) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos