Cardiovascular disease (CVD), despite the significant advances in the diagnosis and treatments, still represents the leading causeof morbidity and mortality worldwide. In order to improve and optimize CVD outcomes, artificial intelligence techniques have the potential to radically change the way we practice cardiology, especially in imaging, offering us novel tools to interpret data and make clinical decisions. AI techniques such as machine learning and deep learning can also improve medical knowledge due to the increase of the volume and complexity of the data, unlocking clinically relevant information. Likewise, the use of emerging communication and information technologies is becoming pivotal to create a pervasive healthcare service through which elderly and chronic disease patients can receive medical care at their home, reducing hospitalizations and improving quality of life. 'e aim of this review is to describe the contemporary state of artificial intelligence and digital health applied to cardiovascular medicine as well as to provide physicians with their potential not only in cardiac imaging but most of all in clinical practice.

Artificial intelligence (AI) and cardiovascular diseases. an unexpected alliance / Romiti, Silvia; Vinciguerra, Mattia; Saade, Wael; Anso Cortajarena, Iñaki; Greco, Ernesto. - In: CARDIOLOGY RESEARCH AND PRACTICE. - ISSN 2090-8016. - 2020:(2020), pp. 1-8. [10.1155/2020/4972346]

Artificial intelligence (AI) and cardiovascular diseases. an unexpected alliance

Vinciguerra, Mattia
;
Saade, Wael
;
Greco, Ernesto
2020

Abstract

Cardiovascular disease (CVD), despite the significant advances in the diagnosis and treatments, still represents the leading causeof morbidity and mortality worldwide. In order to improve and optimize CVD outcomes, artificial intelligence techniques have the potential to radically change the way we practice cardiology, especially in imaging, offering us novel tools to interpret data and make clinical decisions. AI techniques such as machine learning and deep learning can also improve medical knowledge due to the increase of the volume and complexity of the data, unlocking clinically relevant information. Likewise, the use of emerging communication and information technologies is becoming pivotal to create a pervasive healthcare service through which elderly and chronic disease patients can receive medical care at their home, reducing hospitalizations and improving quality of life. 'e aim of this review is to describe the contemporary state of artificial intelligence and digital health applied to cardiovascular medicine as well as to provide physicians with their potential not only in cardiac imaging but most of all in clinical practice.
2020
artificial Inteligence; cardiovascular disease; imaging
01 Pubblicazione su rivista::01g Articolo di rassegna (Review)
Artificial intelligence (AI) and cardiovascular diseases. an unexpected alliance / Romiti, Silvia; Vinciguerra, Mattia; Saade, Wael; Anso Cortajarena, Iñaki; Greco, Ernesto. - In: CARDIOLOGY RESEARCH AND PRACTICE. - ISSN 2090-8016. - 2020:(2020), pp. 1-8. [10.1155/2020/4972346]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1422759
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