Artificial Intelligence in Precision Cardiovascular Medicine

Chayakrit Krittanawong, Hong Ju Zhang, Zhen Wang, Mehmet Aydar, Takeshi Kitai

Research output: Contribution to journalReview article

181 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)2657-2664
Number of pages8
JournalJournal of the American College of Cardiology
Volume69
Issue number21
DOIs
StatePublished - May 30 2017

Keywords

  • big data
  • cognitive computing
  • deep learning
  • machine learning

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Fingerprint Dive into the research topics of 'Artificial Intelligence in Precision Cardiovascular Medicine'. Together they form a unique fingerprint.

  • Cite this