Artificial intelligence has tremendous potential to facilitate precision cardiovascular medicine, though ignorance of associated challenges may overshadow its clinical impact.
Artificial intelligence and machine learning techniques
Artificial intelligence has tremendous potential to facilitate a paradigm shift toward precision cardiovascular medicine, provided its challenges are properly addressed.
Artificial intelligence (AI) is a field of computer science that aims to mimic human thought processes, learning capacity, and knowledge storage. AI techniques have been applied in cardiovascular medicine to explore novel genotypes and phenotypes in existing diseases, improve the quality of patient care, enable cost-effectiveness, and reduce readmission and mortality rates. Over the past decade, several machine-learning techniques have been used for cardiovascular disease diagnosis and prediction. Each problem requires some degree of understanding of the problem, in terms of cardiovascular medicine and statistics, to apply the optimal machine-learning algorithm. In the near future, AI will result in a paradigm shift toward precision cardiovascular medicine. The potential of AI in cardiovascular medicine is tremendous; however, ignorance of the challenges may overshadow its potential clinical impact. This paper gives a glimpse of AI's application in cardiovascular clinical care and discusses its potential role in facilitating precision cardiovascular medicine.
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Chayakrit Krittanawong
HongJu Zhang
Zhen Wang
Journal of the American College of Cardiology
Mayo Clinic
Icahn School of Medicine at Mount Sinai
Cleveland Clinic
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Krittanawong et al. (Mon,) conducted a review in Cardiovascular disease. Artificial intelligence was evaluated. Artificial intelligence has tremendous potential to facilitate precision cardiovascular medicine, though ignorance of associated challenges may overshadow its clinical impact.
www.synapsesocial.com/papers/69e643e6c3fdccbe27a8aa6d — DOI: https://doi.org/10.1016/j.jacc.2017.03.571
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