Artificial Intelligence in Cardiac Imaging

Q4 Medicine

US Cardiology Review Pub Date : 2019-05-21 DOI:10.15420/usc.2019.19.2

K. Seetharam, S. Shrestha, P. Sengupta

引用次数: 14

Abstract

Machine learning (ML), a subset of artificial intelligence, is showing promising results in cardiology, especially in cardiac imaging. ML algorithms are allowing cardiologists to explore new opportunities and make discoveries not seen with conventional approaches. This offers new opportunities to enhance patient care and open new gateways in medical decision-making. This review highlights the role of ML in cardiac imaging for precision phenotyping and prognostication of cardiac disorders.

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人工智能在心脏成像中的应用

机器学习（ML）是人工智能的一个子集，在心脏病学，特别是心脏成像方面显示出了有希望的结果。ML算法使心脏病专家能够探索新的机会，并做出传统方法所没有的发现。这为加强患者护理提供了新的机会，并为医疗决策打开了新的大门。这篇综述强调了ML在心脏成像中对心脏疾病精确表型和预后的作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

US Cardiology Review Medicine-Cardiology and Cardiovascular Medicine

CiteScore

1.10

自引率

0.00%

发文量

审稿时长

10 weeks

期刊介绍： US Cardiology Review (USC) is an international, US-English language, peer-reviewed journal that is published bi-annually and aims to assist time-pressured physicians to stay abreast of key advances and opinion in the area of cardiovascular disease. The journal comprises balanced and comprehensive review articles written by leading authorities. The journal provides updates on a range of salient issues to support physicians in developing their knowledge and effectiveness in day-to-day clinical practice. The journal endeavours to support the continuous medical education of specialist and general cardiologists and disseminate knowledge of the field to the wider cardiovascular community.