AI-powered contrast-free cardiovascular magnetic resonance imaging for myocardial infarction

Cardiovascular magnetic (CMR) resonance is a versatile tool for diagnosing cardiovascular diseases. While gadolinium-based contrast agents are the gold standard for identifying myocardial infarction (MI), their use is limited in patients with allergies or impaired kidney function, affecting a signif...

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Main Authors: Vedat Cicek, Ulas Bagci
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1457498/full
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author Vedat Cicek
Ulas Bagci
author_facet Vedat Cicek
Ulas Bagci
author_sort Vedat Cicek
collection DOAJ
description Cardiovascular magnetic (CMR) resonance is a versatile tool for diagnosing cardiovascular diseases. While gadolinium-based contrast agents are the gold standard for identifying myocardial infarction (MI), their use is limited in patients with allergies or impaired kidney function, affecting a significant portion of the MI population. This has led to a growing interest in developing artificial intelligence (AI)-powered CMR techniques for MI detection without contrast agents. This mini-review focuses on recent advancements in AI-powered contrast-free CMR for MI detection. We explore various AI models employed in the literature and delve into their strengths and limitations, paving the way for a comprehensive understanding of this evolving field.
format Article
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institution Kabale University
issn 2297-055X
language English
publishDate 2024-11-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Cardiovascular Medicine
spelling doaj-art-87f6ffad47c14e7890bb3b841cb3cacb2024-11-21T06:23:37ZengFrontiers Media S.A.Frontiers in Cardiovascular Medicine2297-055X2024-11-011110.3389/fcvm.2024.14574981457498AI-powered contrast-free cardiovascular magnetic resonance imaging for myocardial infarctionVedat CicekUlas BagciCardiovascular magnetic (CMR) resonance is a versatile tool for diagnosing cardiovascular diseases. While gadolinium-based contrast agents are the gold standard for identifying myocardial infarction (MI), their use is limited in patients with allergies or impaired kidney function, affecting a significant portion of the MI population. This has led to a growing interest in developing artificial intelligence (AI)-powered CMR techniques for MI detection without contrast agents. This mini-review focuses on recent advancements in AI-powered contrast-free CMR for MI detection. We explore various AI models employed in the literature and delve into their strengths and limitations, paving the way for a comprehensive understanding of this evolving field.https://www.frontiersin.org/articles/10.3389/fcvm.2024.1457498/fullcardiac magnetic resonance imaging (CMR)deep learningartificial intelligencemachine learningcontrast freelate gadolinium contrast agent enhancement
spellingShingle Vedat Cicek
Ulas Bagci
AI-powered contrast-free cardiovascular magnetic resonance imaging for myocardial infarction
Frontiers in Cardiovascular Medicine
cardiac magnetic resonance imaging (CMR)
deep learning
artificial intelligence
machine learning
contrast free
late gadolinium contrast agent enhancement
title AI-powered contrast-free cardiovascular magnetic resonance imaging for myocardial infarction
title_full AI-powered contrast-free cardiovascular magnetic resonance imaging for myocardial infarction
title_fullStr AI-powered contrast-free cardiovascular magnetic resonance imaging for myocardial infarction
title_full_unstemmed AI-powered contrast-free cardiovascular magnetic resonance imaging for myocardial infarction
title_short AI-powered contrast-free cardiovascular magnetic resonance imaging for myocardial infarction
title_sort ai powered contrast free cardiovascular magnetic resonance imaging for myocardial infarction
topic cardiac magnetic resonance imaging (CMR)
deep learning
artificial intelligence
machine learning
contrast free
late gadolinium contrast agent enhancement
url https://www.frontiersin.org/articles/10.3389/fcvm.2024.1457498/full
work_keys_str_mv AT vedatcicek aipoweredcontrastfreecardiovascularmagneticresonanceimagingformyocardialinfarction
AT ulasbagci aipoweredcontrastfreecardiovascularmagneticresonanceimagingformyocardialinfarction