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Machine learning to predict abnormal myocardial perfusion from pre-test features.
Miller, Robert J H; Hauser, M Timothy; Sharir, Tali; Einstein, Andrew J; Fish, Mathews B; Ruddy, Terrence D; Kaufmann, Philipp A; Sinusas, Albert J; Miller, Edward J; Bateman, Timothy M; Dorbala, Sharmila; Di Carli, Marcelo; Huang, Cathleen; Liang, Joanna X; Han, Donghee; Dey, Damini; Berman, Daniel S; Slomka, Piotr J.
Afiliação
  • Miller RJH; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Suite Metro 203, Los Angeles, CA, 90048, USA.
  • Hauser MT; Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada.
  • Sharir T; Libin Cardiovascular Institute, Calgary, AB, Canada.
  • Einstein AJ; Section of Nuclear Cardiology, Department of Clinical Imaging, Oklahoma Heart Hospital, Oklahoma City, OK, USA.
  • Fish MB; Department of Nuclear Cardiology, Assuta Medical Centers, Tel Aviv, Israel.
  • Ruddy TD; Ben Gurion University of the Negev, Beer Sheba, Israel.
  • Kaufmann PA; Division of Cardiology, Department of Medicine and Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA.
  • Sinusas AJ; New York-Presbyterian Hospital, New York, NY, USA.
  • Miller EJ; Oregon Heart and Vascular Institute, Sacred Heart Medical Center, Springfield, OR, USA.
  • Bateman TM; Division of Cardiology, University of Ottawa Heart Institute, Ottawa, ON, Canada.
  • Dorbala S; Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland.
  • Di Carli M; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
  • Huang C; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
  • Liang JX; Cardiovascular Imaging Technologies LLC, Kansas City, MO, USA.
  • Han D; Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
  • Dey D; Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
  • Berman DS; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Suite Metro 203, Los Angeles, CA, 90048, USA.
  • Slomka PJ; Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Suite Metro 203, Los Angeles, CA, 90048, USA.
J Nucl Cardiol ; 29(5): 2393-2403, 2022 Oct.
Article em En | MEDLINE | ID: mdl-35672567
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imagem de Perfusão do Miocárdio Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Nucl Cardiol Assunto da revista: CARDIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Imagem de Perfusão do Miocárdio Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Nucl Cardiol Assunto da revista: CARDIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos