Opportunities and challenges for artificial intelligence in clinical cardiovascular genetics.

Journal: Trends in genetics : TIG
Published Date:

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.

Authors

  • Chayakrit Krittanawong
    HumanX, Delaware, DE, USA.
  • Kipp W Johnson
  • Benjamin S Glicksberg
    The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 770 Lexington Ave, 15th Fl, New York, NY, 10065, USA.