Inteligencia artificial en ecocardiografía

  1. García Fernández, Miguel Ángel 1
  2. López Farré, Antonio 2
  1. 1 Cátedra de Imagen cardíaca. Universidad Complutense de Madrid. Madrid. España
  2. 2 Profesor Titular, Departamento de Medicina, Facultad de Medicina, Universidad Complutense de Madrid. Académico Correspondiente de la Real Academia Nacional de Medicina de España
Revista:
Revista de Ecocardiografía práctica y otras Técnicas de Imagen Cardíaca (RETIC)

ISSN: 2529-976X

Año de publicación: 2019

Título del ejemplar: Journal of Practical Echocardiography and Other Cardiac Imaging Techniques

Volumen: 2

Número: 1

Páginas: 1-5

Tipo: Artículo

DOI: 10.37615/RETIC.V2N1A1 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Revista de Ecocardiografía práctica y otras Técnicas de Imagen Cardíaca (RETIC)

Resumen

Resumen de los principios y las aplicaciones de las técnicas de inteligencia artificial en Cardiologia

Referencias bibliográficas

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