[Artificial Intelligence and teleradiology in cardiovascular imaging by CT-Scan and MRI].
Intelligence artificielle et téléradiologie en imagerie cardiaque en coupe.
Artificial Intelligence
Calcium score
Cardiac CT-Scan
Cardiac MRI
Cardiovascular prevention
Cardiovascular screening
Coronaropathie
Coronary CT-Scan
Coronary artery disease
Coroscanner
Dépistage cardiovasculaire
IRM cardiaque
Intelligence artificielle
Ischémie myocardique
Maladie coronaire
Myocardial ischemia
Prévention cardiovasculaire
Scanner cardiaque
Score calcique
Teleradiology
Téléradiologie
Journal
Annales de cardiologie et d'angeiologie
ISSN: 1768-3181
Titre abrégé: Ann Cardiol Angeiol (Paris)
Pays: France
ID NLM: 0142167
Informations de publication
Date de publication:
Nov 2021
Nov 2021
Historique:
received:
23
07
2021
accepted:
01
08
2021
pubmed:
15
9
2021
medline:
15
12
2021
entrez:
14
9
2021
Statut:
ppublish
Résumé
Cardiac CT-Scan and cardiac magnetic resonance imaging (MRI) are two booming cardiac imaging modalities especially in chest pain screening for CT-Scan and in surveillance of patients with known coronary artery disease for MRI. Artificial Intelligence is already of great help in radiologic diagnosis and its use should widen in the next few years. Teleradiology allows remote interpretation of all radiology exams and should develop in cardiac imaging. Expert radiology diagnosis centers should develop gathering cardiologists and radiologists with great experience in the field of cardiac imaging interpretation. Peripheral acquisition radiology centers would be disseminated all across the country without a need for a local expert and would send their images to the expert center for interpretation. The expert center would be the middle of this spider web, sending back the report and the selected images to the peripheral center, allowing optimal care for all patients nationwide. Artificial Intelligence would be a major asset of these expert centers, improving through the years. This operating mode would allow the onset of systematic screening for coronary artery disease in the global population and the surveillance of known coronary artery disease treated patients.
Identifiants
pubmed: 34517978
pii: S0003-3928(21)00090-1
doi: 10.1016/j.ancard.2021.08.001
pii:
doi:
Types de publication
Journal Article
Langues
fre
Sous-ensembles de citation
IM
Pagination
339-347Informations de copyright
Copyright © 2021 Elsevier Masson SAS. All rights reserved.