Integration of artificial intelligence into clinical patient management: focus on cardiac imaging.

  • Authors
  • Loncaric F, Camara O, Piella G, Bijnens B
  • UPF authors
  • BIJNENS, BART H; PIELLA FENOY, GEMA; CAMARA REY, OSCAR;
  • Type
  • Scholarly articles
  • Journal títle
  • Revista española de cardiología
  • Publication year
  • 2020
  • Volume
  • 74
  • Number
  • 1
  • Pages
  • 72-80
  • ISSN
  • 0300-8932
  • Publication State
  • Published
  • Abstract
  • Cardiac imaging is a crucial component in the management of patients with heart disease, and as such it influences multiple, inter-related parts of the clinical workflow: physician-patient contact, image acquisition, image pre- and postprocessing, study reporting, diagnostics and outcome predictions, medical interventions, and, finally, knowledge-building through clinical research. With the gradual and ubiquitous infiltration of artificial intelligence into cardiology, it has become clear that, when used appropriately, it will influence and potentially improve¿through automation, standardization and data integration¿all components of the clinical workflow. This review aims to present a comprehensive view of full integration of artificial intelligence into the standard clinical patient management¿with a focus on cardiac imaging, but applicable to all information handling¿and to discuss current barriers that remain to be overcome before its widespread implementation and integration.
  • Complete citation
  • Loncaric F, Camara O, Piella G, Bijnens B. Integration of artificial intelligence into clinical patient management: focus on cardiac imaging.. Revista española de cardiología 2020; 74(1): 72-80.
Bibliometric indicators
  • Índex Scimago de 0.455(2020)