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Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging.
Al'Aref, Subhi J; Anchouche, Khalil; Singh, Gurpreet; Slomka, Piotr J; Kolli, Kranthi K; Kumar, Amit; Pandey, Mohit; Maliakal, Gabriel; van Rosendael, Alexander R; Beecy, Ashley N; Berman, Daniel S; Leipsic, Jonathan; Nieman, Koen; Andreini, Daniele; Pontone, Gianluca; Schoepf, U Joseph; Shaw, Leslee J; Chang, Hyuk-Jae; Narula, Jagat; Bax, Jeroen J; Guan, Yuanfang; Min, James K.
Afiliación
  • Al'Aref SJ; Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Anchouche K; Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Singh G; Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Slomka PJ; Departments of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Kolli KK; Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Kumar A; Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Pandey M; Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Maliakal G; Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • van Rosendael AR; Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Beecy AN; Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Berman DS; Departments of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Leipsic J; Departments of Medicine and Radiology, University of British Columbia, Vancouver, BC, Canada.
  • Nieman K; Departments of Cardiology and Radiology, Stanford University School of Medicine and Cardiovascular Institute, Stanford, CA, USA.
  • Andreini D; Centro Cardiologico Monzino, IRCCS Milan, Italy.
  • Pontone G; Centro Cardiologico Monzino, IRCCS Milan, Italy.
  • Schoepf UJ; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science and Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
  • Shaw LJ; Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
  • Chang HJ; Division of Cardiology, Severance Cardiovascular Hospital and Severance Biomedical Science Institute, Yonsei University College of Medicine, Yonsei University Health System, Seoul, South Korea.
  • Narula J; Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Bax JJ; Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Leiden, The Netherlands.
  • Guan Y; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
  • Min JK; Department of Radiology, NewYork-Presbyterian Hospital and Weill Cornell Medicine, New York, NY, USA.
Eur Heart J ; 40(24): 1975-1986, 2019 06 21.
Article en En | MEDLINE | ID: mdl-30060039

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Técnicas de Imagen Cardíaca / Aprendizaje Automático / Insuficiencia Cardíaca Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Cardiovasculares / Técnicas de Imagen Cardíaca / Aprendizaje Automático / Insuficiencia Cardíaca Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article