Successfully implemented artificial intelligence and machine learning applications in cardiology: State-of-the-art review

Jef Van den Eynde; Mark Lachmann; Karl Ludwig Laugwitz; Cedric Manlhiot; Shelby Kutty

doi:10.1016/j.tcm.2022.01.010

Successfully implemented artificial intelligence and machine learning applications in cardiology: State-of-the-art review

Jef Van den Eynde, Mark Lachmann, Karl Ludwig Laugwitz, Cedric Manlhiot, Shelby Kutty

School of Medicine

Research output: Contribution to journal › Review article › peer-review

Abstract

The omnipresence and deep impact of artificial intelligence (AI) in today's society are undeniable. While the technology has already established itself as a powerful tool in several industries, more recently it has also started to change the practice of medicine. The aim of this review is to provide healthcare providers working in the field of cardiovascular medicine with an overview of AI and machine learning (ML) algorithms that have passed the initial tests and made it into contemporary clinical practice. The following domains where AI/ML could revolutionize cardiology are covered: (i) signal processing, (ii) image processing, (iii) clinical risk stratification, (iv) natural language processing, and (v) fundamental clinical discoveries.

Original language	English (US)
Pages (from-to)	265-271
Number of pages	7
Journal	Trends in Cardiovascular Medicine
Volume	33
Issue number	5
DOIs	https://doi.org/10.1016/j.tcm.2022.01.010
State	Published - Jul 2023

Keywords

Artificial intelligence
Cardiac imaging techniques
Deep learning
Machine learning
Precision medicine

ASJC Scopus subject areas

Cardiology and Cardiovascular Medicine

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10.1016/j.tcm.2022.01.010

Cite this

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abstract = "The omnipresence and deep impact of artificial intelligence (AI) in today's society are undeniable. While the technology has already established itself as a powerful tool in several industries, more recently it has also started to change the practice of medicine. The aim of this review is to provide healthcare providers working in the field of cardiovascular medicine with an overview of AI and machine learning (ML) algorithms that have passed the initial tests and made it into contemporary clinical practice. The following domains where AI/ML could revolutionize cardiology are covered: (i) signal processing, (ii) image processing, (iii) clinical risk stratification, (iv) natural language processing, and (v) fundamental clinical discoveries.",

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Successfully implemented artificial intelligence and machine learning applications in cardiology: State-of-the-art review

Abstract

Keywords

ASJC Scopus subject areas

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