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Artificial Intelligence and Cardiovascular Imaging. A win-win Combination [Anatol J Cardiol]
Anatol J Cardiol. Ahead of Print: AJC-94491 | DOI: 10.14744/AnatolJCardiol.2020.94491  

Artificial Intelligence and Cardiovascular Imaging. A win-win Combination

Luigi Badano1, Daria M. Keller2, Denisa Muraru1, Camilla Torlasco3, Gianfranco Parati1
1Department of medicine and surgery, University of Milano-Bicocca, Milan, Italy
21st Department of cardiology, Poznan University of Medical Sciences, Poznan, Poland
3Cardiovascular imaging unit, Department of cardiovascular, neural and metabolic sciences, Instituto Auxologico Italiano, IRCCS, Milan, Italy

Rapid development of artificial intelligence (AI) has already started to change medicine. Its huge impact and inevitable necessity can be easily seen also in cardiovascular imaging. Although AI would probably never replace the doctors, it can significantly support and improve their productivity and diagnostic performance Many algorithms have already proved to be useful at all stages of the cardiac imaging chain. Their crucial practical applications are classification, automatic quantification, notification, diagnosis, and risk prediction. As a result, more reproducible and repeatable studies are obtained, and personalized reports may be available to any patient. Utilization of AI can also increase patient safety and decrease healthcare costs. Furthermore, AI may be particularly useful for beginners in the field of cardiac imaging by providing anatomic guidance or interpretation of complex imaging results. On the other hand, lack of interpretability and explainability in AI carries a risk of harmful recommendations. This review summarizes AI principles, essential execution requirements, challenges, as well as its recent applications in cardiovascular imaging.

Keywords: artificial intelligence, machine learning, deep learning, echocardiography, cardiac magnetic resonance, cardiac computed tomography, nuclear cardiac imaging




Corresponding Author: Luigi Badano, Italy


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