Artificial Intelligence in Cardiac Imaging

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 en...

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Autores principales:	Karthik Seetharam, Sirish Shrestha, Partho P Sengupta
Formato:	article
Lenguaje:	EN
Publicado:	Radcliffe Medical Media 2020
Materias:	Diseases of the circulatory (Cardiovascular) system RC666-701
Acceso en línea:	https://doaj.org/article/b003e0b8af6c4629909c2729364cd61a
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id	oai:doaj.org-article:b003e0b8af6c4629909c2729364cd61a
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spelling	oai:doaj.org-article:b003e0b8af6c4629909c2729364cd61a2021-12-04T16:02:21ZArtificial Intelligence in Cardiac Imaging10.15420/usc.2019.19.21758-390X1758-3896https://doaj.org/article/b003e0b8af6c4629909c2729364cd61a2020-02-01T00:00:00Zhttps://www.uscjournal.com/articles/Artificial-Intelligence-in-Cardiac-Imaginghttps://doaj.org/toc/1758-3896https://doaj.org/toc/1758-390XMachine 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.Karthik SeetharamSirish ShresthaPartho P SenguptaRadcliffe Medical MediaarticleDiseases of the circulatory (Cardiovascular) systemRC666-701ENUS Cardiology Review , Vol 13, Iss 2, Pp 110-116 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Diseases of the circulatory (Cardiovascular) system RC666-701
spellingShingle	Diseases of the circulatory (Cardiovascular) system RC666-701 Karthik Seetharam Sirish Shrestha Partho P Sengupta Artificial Intelligence in Cardiac Imaging
description	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.
format	article
author	Karthik Seetharam Sirish Shrestha Partho P Sengupta
author_facet	Karthik Seetharam Sirish Shrestha Partho P Sengupta
author_sort	Karthik Seetharam
title	Artificial Intelligence in Cardiac Imaging
title_short	Artificial Intelligence in Cardiac Imaging
title_full	Artificial Intelligence in Cardiac Imaging
title_fullStr	Artificial Intelligence in Cardiac Imaging
title_full_unstemmed	Artificial Intelligence in Cardiac Imaging
title_sort	artificial intelligence in cardiac imaging
publisher	Radcliffe Medical Media
publishDate	2020
url	https://doaj.org/article/b003e0b8af6c4629909c2729364cd61a
work_keys_str_mv	AT karthikseetharam artificialintelligenceincardiacimaging AT sirishshrestha artificialintelligenceincardiacimaging AT parthopsengupta artificialintelligenceincardiacimaging
_version_	1718372754550423552

Artificial Intelligence in Cardiac Imaging

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