Machine learning, artificial intelligence and mechanical circulatory support: A primer for clinicians

J Heart Lung Transplant. 2021 Jun;40(6):414-425. doi: 10.1016/j.healun.2021.02.016. Epub 2021 Feb 27.

Abstract

Artificial intelligence (AI) refers to the ability of machines to perform intelligent tasks, and machine learning (ML) is a subset of AI describing the ability of machines to learn independently and make accurate predictions. The application of AI combined with "big data" from the electronic health records, is poised to impact how we take care of patients. In recent years, an expanding body of literature has been published using ML in cardiovascular health care, including mechanical circulatory support (MCS). This primer article provides an overview for clinicians on relevant concepts of ML and AI, reviews predictive modeling concepts in ML and provides contextual reference to how AI is being adapted in the field of MCS. Lastly, it explains how these methods could be incorporated in the practices of medicine to improve patient outcomes.

Keywords: LVADs; artificial intelligence; clinical outcomes; heart failure; machine learning; mechanical circulatory support.

Publication types

  • Editorial

MeSH terms

  • Algorithms*
  • Artificial Intelligence*
  • Decision Making, Computer-Assisted*
  • Disease Management*
  • Heart Failure / therapy*
  • Heart-Assist Devices*
  • Humans
  • Machine Learning*