Harnessing artificial intelligence in cardiac rehabilitation, a systematic review.

Journal: Future cardiology
Published Date:

Abstract

This systematic review aims to evaluate the current body of research surrounding the efficacy of artificial intelligence (AI) in cardiac rehabilitation. Presently, AI can be incorporated into personal devices such as smart watches and smartphones, in diagnostic and home monitoring devices, as well as in certain inpatient care settings. The PRISMA guidelines were followed in this review. Inclusion and exclusion criteria were set using the Population, Intervention, Comparison and Outcomes (PICO) tool. Eight studies meeting the inclusion criteria were found. Incorporation of AI into healthcare, cardiac rehabilitation delivery, and monitoring holds great potential for early detection of cardiac events, allowing for home-based monitoring, and improved clinician decision making.

Authors

  • Sara Sotirakos
    Trinity College Dublin, School of Medicine, Dublin 2, Ireland.
  • Basem Fouda
    Trinity College Dublin, School of Medicine, Dublin 2, Ireland.
  • Noor Adeebah Mohamed Razif
    Trinity College Dublin, School of Medicine, Dublin 2, Ireland.
  • Niall Cribben
    University Hospital Galway, Galway, Ireland.
  • Cormac Mulhall
    Trinity College Dublin, School of Medicine, Dublin 2, Ireland.
  • Aisling O'Byrne
    Trinity College Dublin, School of Medicine, Dublin 2, Ireland.
  • Bridget Moran
    Trinity College Dublin, School of Medicine, Dublin 2, Ireland.
  • Ruairi Connolly
    Trinity College Dublin, School of Medicine, Dublin 2, Ireland.