Prospects for cardiovascular medicine using artificial intelligence.
Artificial intelligence
Cardiology
Deep learning
Journal
Journal of cardiology
ISSN: 1876-4738
Titre abrégé: J Cardiol
Pays: Netherlands
ID NLM: 8804703
Informations de publication
Date de publication:
03 2022
03 2022
Historique:
received:
07
10
2021
accepted:
19
10
2021
pubmed:
14
11
2021
medline:
3
3
2022
entrez:
13
11
2021
Statut:
ppublish
Résumé
As the importance of artificial intelligence (AI) in the clinical setting increases, the need for clinicians to understand AI is also increasing. This review focuses on the fundamental principles of AI and the current state of cardiovascular AI. Various types of cardiovascular AI have been developed for evaluating examinations such as X-rays, electrocardiogram, echocardiography, computed tomography, and magnetic resonance imaging. Cardiovascular AI achieves high accuracy in diagnostic support and prognosis prediction. Furthermore, it can even detect abnormalities that were previously difficult for cardiologists to detect. Randomized controlled trials begin to be reported to verify the usefulness of cardiovascular AI. The day is approaching when cardiovascular AI will be commonly used in clinical practice. Various types of medical AI will be used for cardiovascular care; however, it will not replace medical doctors. We need to understand the strengths and weaknesses of medical AI so that cardiologists can effectively use AI to improve the medical care of patients.
Identifiants
pubmed: 34772574
pii: S0914-5087(21)00283-5
doi: 10.1016/j.jjcc.2021.10.016
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
319-325Informations de copyright
Copyright © 2021. Published by Elsevier Ltd.
Déclaration de conflit d'intérêts
Disclosure The authors declare that they have no conflicts of interest.