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Severe aortic stenosis detection by deep learning applied to echocardiography.
Holste, Gregory; Oikonomou, Evangelos K; Mortazavi, Bobak J; Coppi, Andreas; Faridi, Kamil F; Miller, Edward J; Forrest, John K; McNamara, Robert L; Ohno-Machado, Lucila; Yuan, Neal; Gupta, Aakriti; Ouyang, David; Krumholz, Harlan M; Wang, Zhangyang; Khera, Rohan.
Afiliación
  • Holste G; Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Oikonomou EK; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8056, USA.
  • Mortazavi BJ; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8056, USA.
  • Coppi A; Department of Computer Science & Engineering, Texas A&M University, College Station, TX, USA.
  • Faridi KF; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, 195 C hurch St 5th Floor, New Haven, CT, USA.
  • Miller EJ; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8056, USA.
  • Forrest JK; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, 195 C hurch St 5th Floor, New Haven, CT, USA.
  • McNamara RL; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8056, USA.
  • Ohno-Machado L; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8056, USA.
  • Yuan N; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8056, USA.
  • Gupta A; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8056, USA.
  • Ouyang D; Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, USA.
  • Krumholz HM; Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
  • Wang Z; Division of Cardiology, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA.
  • Khera R; Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Eur Heart J ; 44(43): 4592-4604, 2023 11 14.
Article en En | MEDLINE | ID: mdl-37611002
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Estenosis de la Válvula Aórtica / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Eur Heart J Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Estenosis de la Válvula Aórtica / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Eur Heart J Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos