Published 2022 | Version v1
Journal article Metadata-only

The role of artificial intelligence in paediatric cardiovascular magnetic resonance imaging

Creators

  • 1. Cardiovascular Imaging, UCL Institute of Cardiovascular Science, London (United Kingdom)
  • 2. Great Ormond Street Hospital for Children, Zayed Centre for Research, 20 Guildford St., Room 3.7, WC1N 1DZ, London (United Kingdom)

Description

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.

Availability note (English)

Available from: http://dx.doi.org/10.1007/s00247-021-05218-1

Additional details

Identifiers

DOI
10.1007/s00247-021-05218-1;

Publishing Information

Journal Title
Pediatric Radiology
Journal Volume
52
Journal Issue
11
Journal Page Range
p. 2131-2138
ISSN
0301-0449
CODEN
PDRYA5

INIS

Country of Publication
Germany
Country of Input or Organization
Germany
INIS RN
53122905
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
ADULTS; ARTIFICIAL INTELLIGENCE; AUTOMATION; BLOOD FLOW; CARDIOVASCULAR DISEASES; CHILDREN; CONTRAST MEDIA; DIAGNOSIS; FOUR-DIMENSIONAL CALCULATIONS; GADOLINIUM; HEART; IMAGE PROCESSING; NEURAL NETWORKS; NMR IMAGING; RELAXATION TIME; REVIEWS; THREE-DIMENSIONAL CALCULATIONS; TIME RESOLUTION; VALIDATION; WEIGHTING FUNCTIONS
Descriptors DEC
AGE GROUPS; ANIMALS; BODY; CARDIOVASCULAR SYSTEM; DIAGNOSTIC TECHNIQUES; DISEASES; DOCUMENT TYPES; ELEMENTS; FUNCTIONS; HUMANS; MAMMALS; METALS; ORGANS; PRIMATES; PROCESSING; RARE EARTHS; RESOLUTION; TESTING; TIMING PROPERTIES; VERTEBRATES

Optional Information

Notes
Special issue on artificial intelligence in pediatric radiology