Opportunities and challenges for artificial intelligence in clinical cardiovascular genetics

Chayakrit Krittanawong; Kipp W Johnson; Benjamin S Glicksberg

doi:10.1016/j.tig.2021.04.004

Opportunities and challenges for artificial intelligence in clinical cardiovascular genetics

Trends Genet. 2021 Sep;37(9):780-783. doi: 10.1016/j.tig.2021.04.004. Epub 2021 Apr 27.

Authors

Chayakrit Krittanawong¹, Kipp W Johnson², Benjamin S Glicksberg²

Affiliations

¹ Michael E. DeBakey VA Medical Center, Houston, TX, USA; Section of Cardiology, Baylor College of Medicine, Houston, TX, USA. Electronic address: Chayakrit.Krittanawong@bcm.edu.
² The Hasso Plattner Institute for Digital Health at the Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

PMID: 33926743
DOI: 10.1016/j.tig.2021.04.004

Abstract

A combination of emerging genomic and artificial intelligence (AI) techniques may ultimately unlock a deeper understanding of heterogeneity and biological complexities in cardiovascular diseases (CVDs), leading to advances in prognostic guidance and personalized therapies. We discuss the state of AI in cardiovascular genetics, current applications, limitations, and future directions of the field.

MeSH terms

Artificial Intelligence*
Cardiovascular Diseases / genetics*
Genetics, Medical / methods
Humans
Machine Learning
Precision Medicine / methods