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

PubMed, vol. 32, pp. 89–98

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 7

1. Bettina Zippel‐Schultz

   Deutsche Stiftung für Chronisch Kranke

   Affiliation as printed

   Deutsche Stiftung für chronisch Kranke, Berlin, Deutschland

2. Carsten Schultz

   Christian-Albrechts-Universität zu Kiel

   Affiliation as printed

   Lehrstuhl für Technologiemanagement, Christian-Albrechts-Universität zu Kiel, Kiel, Deutschland

3. Dirk Müller‐Wieland Aachen Medizinische Klinik I – Kardiologie

   Universitätsklinikum Aachen

   Affiliation as printed

   Medizinische Klinik I - Kardiologie, Angiologie und Internistische Intensivmedizin, Uniklinik RWTH Aachen, Aachen, Deutschland

   Medizinische Klinik I – Kardiologie, Angiologie und Internistische Intensivmedizin, Uniklinik RWTH Aachen, Aachen, Deutschland

4. Andrew B Remppis
   Affiliation as printed

   Klinik für Kardiologie, Herz- und Gefässzentrum Bad Bevensen, Bad Bevensen, Deutschland

5. Martin A. Stockburger
   Affiliation as printed

   Medizinische Klinik Nauen, Schwerpunkt Kardiologie, Havelland Kliniken, Nauen, Deutschland

6. Christian Andreas Perings

   Katholisches Klinikum Lünen/Werne , St.-Marien-Hospital Lünen

   Affiliation as printed

   Medizinische Klinik 1, St.-Marien-Hospital Lünen, Lünen, Deutschland

7. Thomas Maria Helms

   Deutsche Stiftung für Chronisch Kranke

   Affiliation as printed

   Deutsche Stiftung für chronisch Kranke, Fürth, Deutschland. Thomas_Helms@t-online.de

   Peri Cor Arbeitsgruppe Kardiologie/Ass. UCSF, Hamburg, Deutschland. Thomas_Helms@t-online.de