Successfully implemented artificial intelligence and machine learning applications in cardiology: State-of-the-art review
Van den Eynde J, Lachmann M, Laugwitz KL, Manlhiot C, Kutty S (2022)
Publication Type: Journal article, Review article
Publication year: 2022
Journal
DOI: 10.1016/j.tcm.2022.01.010
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.
Involved external institutions
United States (USA) (US)
Germany (DE)How to cite
APA:
Van den Eynde, J., Lachmann, M., Laugwitz, K.L., Manlhiot, C., & Kutty, S. (2022). Successfully implemented artificial intelligence and machine learning applications in cardiology: State-of-the-art review. Trends in Cardiovascular Medicine. https://doi.org/10.1016/j.tcm.2022.01.010
MLA:
Van den Eynde, Jef, et al. "Successfully implemented artificial intelligence and machine learning applications in cardiology: State-of-the-art review." Trends in Cardiovascular Medicine (2022).
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