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Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images.
Miller, Robert J H; Singh, Ananya; Otaki, Yuka; Tamarappoo, Balaji K; Kavanagh, Paul; Parekh, Tejas; Hu, Lien-Hsin; Gransar, Heidi; 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 F; Liang, Joanna X; Dey, Damini; Berman, Daniel S; Slomka, Piotr J.
Afiliación
  • Miller RJH; Departments of Medicine, Division of Artificial Intelligence, Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Singh A; Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada.
  • Otaki Y; Departments of Medicine, Division of Artificial Intelligence, Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Tamarappoo BK; Departments of Medicine, Division of Artificial Intelligence, Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Kavanagh P; Departments of Medicine, Division of Artificial Intelligence, Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Parekh T; Departments of Medicine, Division of Artificial Intelligence, Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Hu LH; Departments of Medicine, Division of Artificial Intelligence, Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Gransar H; Departments of Medicine, Division of Artificial Intelligence, Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Sharir T; Department of Nuclear Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
  • Einstein AJ; Departments of Medicine, Division of Artificial Intelligence, Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Fish MB; Department of Nuclear Cardiology, Assuta Medical Centers, Tel Aviv, Israel and Ben Gurion University of the Negev, Beer Sheba, Israel.
  • Ruddy TD; Department of Medicine, and Department of Radiology, Division of Cardiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, NY, USA.
  • Kaufmann PA; Oregon Heart and Vascular Institute, Sacred Heart Medical Center, Springfield, OR, USA.
  • Sinusas AJ; Division of Cardiology, University of Ottawa Heart Institute, Ottawa, ON, Canada.
  • Miller EJ; Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland.
  • Bateman TM; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
  • Dorbala S; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
  • Di Carli MF; Cardiovascular Imaging Technologies LLC, Kansas City, MO, USA.
  • Liang JX; Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Brigham and Women's Hospital, Boston, MA, USA.
  • Dey D; Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Brigham and Women's Hospital, Boston, MA, USA.
  • Berman DS; Departments of Medicine, Division of Artificial Intelligence, Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
  • Slomka PJ; Departments of Medicine, Division of Artificial Intelligence, Imaging and Biomedical Sciences, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
Eur J Nucl Med Mol Imaging ; 50(2): 387-397, 2023 01.
Article en En | MEDLINE | ID: mdl-36194270
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Imagen de Perfusión Miocárdica / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Eur J Nucl Med Mol Imaging Asunto de la revista: MEDICINA NUCLEAR Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
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PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Imagen de Perfusión Miocárdica / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Eur J Nucl Med Mol Imaging Asunto de la revista: MEDICINA NUCLEAR Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos