Accelerating the future of cardiac CT: Social media as sine qua non?

Document Type

Journal Article

Publication Date

1-1-2020

Journal

Journal of Cardiovascular Computed Tomography

DOI

10.1016/j.jcct.2020.01.011

Keywords

Atherosclerosis; Cardiac computed tomography; Congenital; Coronary artery calcium; Machine learning; Social media; Structural

Abstract

© 2020 Society of Cardiovascular Computed Tomography The vision for the Journal of Cardiovascular Computed Tomography's social media efforts is to amplify the impact of the Journal while driving engagement, increasing journal visibility and disseminating content to new audiences globally. Serving as “the front door” to the Journal, this digital evolution represents an important step forward for a field in which advancements in hardware, image processing and clinical evidence have evolved rapidly. However, is social media the panem et circenses of cardiovascular computed tomography (CT), that of superficial appeasement, or of sine qua non; an essential ingredient to the acceleration of the Journal and of the field of cardiovascular CT? This paper aims to present the initial impact of social media within a dedicated cardiovascular CT journal.

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