Future Direction for Using Artificial Intelligence to Predict and Manage Hypertension.

Journal: Current hypertension reports
Published Date: Jul 6, 2018

Abstract

PURPOSE OF REVIEW: Evidence that artificial intelligence (AI) is useful for predicting risk factors for hypertension and its management is emerging. However, we are far from harnessing the innovative AI tools to predict these risk factors for hypertension and applying them to personalized management. This review summarizes recent advances in the computer science and medical field, illustrating the innovative AI approach for potential prediction of early stages of hypertension. Additionally, we review ongoing research and future implications of AI in hypertension management and clinical trials, with an eye towards personalized medicine.

Authors

  • Chayakrit Krittanawong
    HumanX, Delaware, DE, USA.
  • Andrew S Bomback
    Division of Nephrology, College of Physicians and Surgeons, Columbia University, New York, NY, USA.
  • Usman Baber
    Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Sripal Bangalore
    Department of Cardiovascular Medicine, NYU Langone Health, School of Medicine, New York University, New York, NY, USA.
  • Franz H Messerli
    Mount Sinai Icahn School of Medicine, New York, NY, USA.
  • W H Wilson Tang
    Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland, OH, USA.

Keywords

External Resources

Popular Topics
Recent Journals