The Role of Artificial Intelligence in Cardiac Imaging

Carlotta Onnis; Marly van Assen; Emanuele Muscogiuri; Giuseppe Muscogiuri; Gabrielle Gershon; Luca Saba; Carlo N De Cecco

doi:10.1016/j.rcl.2024.01.002

The Role of Artificial Intelligence in Cardiac Imaging

Radiol Clin North Am. 2024 May;62(3):473-488. doi: 10.1016/j.rcl.2024.01.002. Epub 2024 Feb 7.

Authors

Carlotta Onnis¹, Marly van Assen², Emanuele Muscogiuri³, Giuseppe Muscogiuri⁴, Gabrielle Gershon⁵, Luca Saba⁶, Carlo N De Cecco⁷

Affiliations

¹ Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Department of Radiology and Imaging Sciences, Emory University, 100 Woodruff Circle, Atlanta, GA 30322, USA; Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, SS 554 km 4,500 Monserrato, Cagliari 09042, Italy. Electronic address: https://twitter.com/CarlottaOnnis.
² Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Department of Radiology and Imaging Sciences, Emory University, 100 Woodruff Circle, Atlanta, GA 30322, USA. Electronic address: https://twitter.com/marly_van_assen.
³ Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Department of Radiology and Imaging Sciences, Emory University, 100 Woodruff Circle, Atlanta, GA 30322, USA; Division of Thoracic Imaging, Department of Radiology, University Hospitals Leuven, Herestraat 49, Leuven 3000, Belgium.
⁴ Department of Diagnostic and Interventional Radiology, Papa Giovanni XXIII Hospital, Piazza OMS, 1, Bergamo BG 24127, Italy. Electronic address: https://twitter.com/GiuseppeMuscog.
⁵ Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Department of Radiology and Imaging Sciences, Emory University, 100 Woodruff Circle, Atlanta, GA 30322, USA. Electronic address: https://twitter.com/gabbygershon.
⁶ Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, SS 554 km 4,500 Monserrato, Cagliari 09042, Italy. Electronic address: https://twitter.com/lucasabaITA.
⁷ Translational Laboratory for Cardiothoracic Imaging and Artificial Intelligence, Department of Radiology and Imaging Sciences, Emory University, 100 Woodruff Circle, Atlanta, GA 30322, USA; Division of Cardiothoracic Imaging, Department of Radiology and Imaging Sciences, Emory University, Emory University Hospital, 1365 Clifton Road Northeast, Suite AT503, Atlanta, GA 30322, USA. Electronic address: carlo.dececco@emory.edu.

PMID: 38553181
DOI: 10.1016/j.rcl.2024.01.002

Abstract

Artificial intelligence (AI) is having a significant impact in medical imaging, advancing almost every aspect of the field, from image acquisition and postprocessing to automated image analysis with outreach toward supporting decision making. Noninvasive cardiac imaging is one of the main and most exciting fields for AI development. The aim of this review is to describe the main applications of AI in cardiac imaging, including CT and MR imaging, and provide an overview of recent advancements and available clinical applications that can improve clinical workflow, disease detection, and prognostication in cardiac disease.

Keywords: Artificial intelligence; Cardiac computed tomography; Cardiac imaging; Cardiac magnetic resonance; Clinical workflow; Deep learning; Machine learning.

Publication types

Review

MeSH terms

Artificial Intelligence*
Heart Diseases* / diagnostic imaging
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging