Application of artificial intelligence in cardiac CT: From basics to clinical practice

L B van den Oever; M Vonder; M van Assen; P M A van Ooijen; G H de Bock; X Q Xie; R Vliegenthart

doi:10.1016/j.ejrad.2020.108969

Application of artificial intelligence in cardiac CT: From basics to clinical practice

Eur J Radiol. 2020 Jul:128:108969. doi: 10.1016/j.ejrad.2020.108969. Epub 2020 Apr 8.

Authors

L B van den Oever¹, M Vonder², M van Assen³, P M A van Ooijen¹, G H de Bock², X Q Xie⁴, R Vliegenthart⁵

Affiliations

¹ University of Groningen, University Medical Center Groningen, Department of Radiation Oncology, the Netherlands.
² University of Groningen, University Medical Center Groningen, Department of Epidemiology, the Netherlands.
³ University of Groningen, University Medical Center Groningen, Faculty of Medicine, Groningen, the Netherlands; Divisions of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University Hospital, Atlanta, GA, USA.
⁴ Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Department of Radiology, Shanghai, The People's Republic of China.
⁵ University of Groningen, University Medical Center Groningen, Department of Radiology, the Netherlands. Electronic address: [email protected].

PMID: 32361380
DOI: 10.1016/j.ejrad.2020.108969

Abstract

Research into the possibilities of AI in cardiac CT has been growing rapidly in the last decade. With the rise of publicly available databases and AI algorithms, many researchers and clinicians have started investigations into the use of AI in the clinical workflow. This review is a comprehensive overview on the types of tasks and applications in which AI can aid the clinician in cardiac CT, and can be used as a primer for medical researchers starting in the field of AI. The applications of AI algorithms are explained and recent examples in cardiac CT of these algorithms are further elaborated on. The critical factors for implementation in the future are discussed.

Keywords: Artificial Intelligence; Cardiovascular Disease; Computed Tomography; Machine Learning.

Publication types

Review

MeSH terms

Algorithms
Artificial Intelligence*
Heart / diagnostic imaging
Heart Diseases / diagnostic imaging*
Humans
Radiographic Image Interpretation, Computer-Assisted / methods*
Tomography, X-Ray Computed / methods*