TY - JOUR
T1 - Artificial Intelligence in Precision Cardiovascular Medicine
AU - Krittanawong, Chayakrit
AU - Zhang, Hong Ju
AU - Wang, Zhen
AU - Aydar, Mehmet
AU - Kitai, Takeshi
N1 - Publisher Copyright:
© 2017 American College of Cardiology Foundation
PY - 2017/5/30
Y1 - 2017/5/30
N2 - 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.
AB - 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.
KW - big data
KW - cognitive computing
KW - deep learning
KW - machine learning
UR - http://www.scopus.com/inward/record.url?scp=85019606440&partnerID=8YFLogxK
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U2 - 10.1016/j.jacc.2017.03.571
DO - 10.1016/j.jacc.2017.03.571
M3 - Review article
C2 - 28545640
AN - SCOPUS:85019606440
SN - 0735-1097
VL - 69
SP - 2657
EP - 2664
JO - Journal of the American College of Cardiology
JF - Journal of the American College of Cardiology
IS - 21
ER -