Artificial intelligence in cardiac radiology

Marly van Assen, Giuseppe Muscogiuri, Damiano Caruso, Scott J. Lee, Andrea Laghi, Carlo N. De Cecco

Research output: Contribution to journalArticlepeer-review

Abstract

Artificial intelligence (AI) is entering the clinical arena, and in the early stage, its implementation will be focused on the automatization tasks, improving diagnostic accuracy and reducing reading time. Many studies investigate the potential role of AI to support cardiac radiologist in their day-to-day tasks, assisting in segmentation, quantification, and reporting tasks. In addition, AI algorithms can be also utilized to optimize image reconstruction and image quality. Since these algorithms will play an important role in the field of cardiac radiology, it is increasingly important for radiologists to be familiar with the potential applications of AI.The main focus of this article is to provide an overview of cardiac-related AI applications for CT and MRI studies, as well as non-imaging-based applications for reporting and image optimization.

Original languageEnglish
Pages (from-to)1186-1199
Number of pages14
JournalRadiologia Medica
Volume125
Issue number11
DOIs
Publication statusPublished - Nov 1 2020

Keywords

  • Artificial intelligence
  • Cardiac imaging
  • Computed tomography
  • Magnetic resonance imaging

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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