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The Role of Artificial Intelligence in Cardiovascular Imaging: State of the Art Review.
Seetharam, Karthik; Brito, Daniel; Farjo, Peter D; Sengupta, Partho P.
Afiliación
  • Seetharam K; Department of Cardiology, West Virginia University Medicine Heart & Vascular Institute, Morgantown, WV, United States.
  • Brito D; Department of Cardiology, West Virginia University Medicine Heart & Vascular Institute, Morgantown, WV, United States.
  • Farjo PD; Department of Cardiology, West Virginia University Medicine Heart & Vascular Institute, Morgantown, WV, United States.
  • Sengupta PP; Department of Cardiology, West Virginia University Medicine Heart & Vascular Institute, Morgantown, WV, United States.
Front Cardiovasc Med ; 7: 618849, 2020.
Article en En | MEDLINE | ID: mdl-33426010
In this current digital landscape, artificial intelligence (AI) has established itself as a powerful tool in the commercial industry and is an evolving technology in healthcare. Cutting-edge imaging modalities outputting multi-dimensional data are becoming increasingly complex. In this era of data explosion, the field of cardiovascular imaging is undergoing a paradigm shift toward machine learning (ML) driven platforms. These diverse algorithms can seamlessly analyze information and automate a range of tasks. In this review article, we explore the role of ML in the field of cardiovascular imaging.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Cardiovasc Med Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Cardiovasc Med Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza