Literature DB >> 34772574

Prospects for cardiovascular medicine using artificial intelligence.

Satoshi Kodera1, Hiroshi Akazawa2, Hiroyuki Morita2, Issei Komuro2.   

Abstract

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.
Copyright © 2021. Published by Elsevier Ltd.

Entities:  

Keywords:  Artificial intelligence; Cardiology; Deep learning

Mesh:

Year:  2021        PMID: 34772574     DOI: 10.1016/j.jjcc.2021.10.016

Source DB:  PubMed          Journal:  J Cardiol        ISSN: 0914-5087            Impact factor:   3.159


  1 in total

1.  Elevated All-Cause Mortality among Overweight Older People: AI Predicts a High Normal Weight Is Optimal.

Authors:  Kei Nakajima; Mariko Yuno
Journal:  Geriatrics (Basel)       Date:  2022-06-16
  1 in total

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