[Artificial intelligence in cardiology : Relevance, current applications, and future developments].

Journal: Herzschrittmachertherapie & Elektrophysiologie
Published Date:

Abstract

Big data and applications of artificial intelligence (AI), such as machine learning or deep learning, will enrich healthcare in the future and become increasingly important. Among other things, they have the potential to avoid unnecessary examinations as well as diagnostic and therapeutic errors. They could enable improved, early and accelerated decision-making. In the article, the authors provide an overview of current AI-based applications in cardiology. The examples describe innovative solutions for risk assessment, diagnosis and therapy support up to patient self-management. Big data and AI serve as a basis for efficient, predictive, preventive and personalised medicine. However, the examples also show that research is needed to further develop the solutions for the benefit of the patient and the medical profession, to demonstrate the effectiveness and benefits in health care and to establish legal and ethical standards.

Authors

  • Bettina Zippel-Schultz
    Deutsche Stiftung für chronisch Kranke, Berlin, Deutschland.
  • Carsten Schultz
    Lehrstuhl für Technologiemanagement, Christian-Albrechts-Universität zu Kiel, Kiel, Deutschland.
  • Dirk Müller-Wieland
    Medizinische Klinik I - Kardiologie, Angiologie und Internistische Intensivmedizin, Uniklinik RWTH Aachen, Aachen, Deutschland.
  • Andrew B Remppis
    Klinik für Kardiologie, Herz- und Gefässzentrum Bad Bevensen, Bad Bevensen, Deutschland.
  • Martin Stockburger
    Medizinische Klinik Nauen, Schwerpunkt Kardiologie, Havelland Kliniken, Nauen, Deutschland.
  • Christian Perings
    Medizinische Klinik 1, St.-Marien-Hospital Lünen, Lünen, Deutschland.
  • Thomas M Helms
    Deutsche Stiftung für chronisch Kranke, Fürth, Deutschland. Thomas_Helms@t-online.de.