The role of artificial intelligence in paediatric cardiovascular magnetic resonance imaging

Andrew M Taylor

doi:10.1007/s00247-021-05218-1

The role of artificial intelligence in paediatric cardiovascular magnetic resonance imaging

Pediatr Radiol. 2022 Oct;52(11):2131-2138. doi: 10.1007/s00247-021-05218-1. Epub 2021 Dec 22.

Author

Andrew M Taylor^{1

2}

Affiliations

¹ Great Ormond Street Hospital for Children, Zayed Centre for Research, 20 Guildford St., Room 3.7, London, WC1N 1DZ, UK. a.taylor76@ucl.ac.uk.
² Cardiovascular Imaging, UCL Institute of Cardiovascular Science, London, UK. a.taylor76@ucl.ac.uk.

Abstract

Artificial intelligence (AI) offers the potential to change many aspects of paediatric cardiac imaging. At present, there are only a few clinically validated examples of AI applications in this field. This review focuses on the use of AI in paediatric cardiovascular MRI, using examples from paediatric cardiovascular MRI, adult cardiovascular MRI and other radiologic experience.

Keywords: Artificial intelligence; Cardiovascular; Children; Heart; Magnetic resonance imaging.

Publication types

Review

MeSH terms

Adult
Artificial Intelligence*
Child
Heart
Humans
Magnetic Resonance Imaging / methods
Radiology*