Prospects for cardiovascular medicine using artificial intelligence.


Journal

Journal of cardiology
ISSN: 1876-4738
Titre abrégé: J Cardiol
Pays: Netherlands
ID NLM: 8804703

Informations de publication

Date de publication:
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

319-325

Informations de copyright

Copyright © 2021. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Disclosure The authors declare that they have no conflicts of interest.

Auteurs

Satoshi Kodera (S)

Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan. Electronic address: koderas-int@h.u-tokyo.ac.jp.

Hiroshi Akazawa (H)

Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.

Hiroyuki Morita (H)

Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.

Issei Komuro (I)

Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.

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Classifications MeSH