4.7 Review

Artificial Intelligence in Precision Cardiovascular Medicine

Journal

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
Volume 69, Issue 21, Pages 2657-2664

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jacc.2017.03.571

Keywords

big data; cognitive computing; deep learning; machine learning

Ask authors/readers for more resources

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. (J Am Coll Cardiol 2017;69:2657-64) (C) 2017 by the American College of Cardiology Foundation.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available