Cor Vasa 2022, 64(Suppl. 4):7-17

The year in cardiovascular medicine 2021: digital health and innovation

Panos E. Vardas1, 2*, Folkert W. Asselbergs3, 4, Maarten van Smeden5, Paul Friedman6
1 Heart Sector, Hygeia Hospitals Group, HHG, 5, Erithrou Stavrou, Marousi, Athens 15123, Greece
2 European Heart Agency, ESC, Brussels, Belgium
3 Department of Cardiology, Division of Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
4 Health Data Research UK and Institute of Health Informatics, University College London, London, UK
5 Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
6 Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA

Received Date: 13 October 2021; Revision received Date: 15 November 2021; Accepted Date: 23 November 2021
Reproduced from: Vardas PE, Asselbergs FW, van Smeden M, Friedman P. The year in cardiovascular medicine 2021: digital health and innovation. Eur Heart J 2022;43:271–279. https://doi.org/10.1093/eurheartj/ehab874, by permission of Oxford University Press on behalf of the European Society of Cardiology

This article presents some of the most important developments in the fi eld of digital medicine that have appeared over the last 12 months and are related to cardiovascular medicine. The article consists of three main sections, as follows: (i) artifi cial intelligence-enabled cardiovascular diagnostic tools, techniques, and methodologies, (ii) big data and prognostic models for cardiovascular risk protection, and (iii) wearable devices in cardiovascular risk assessment, cardiovascular disease prevention, diagnosis, and management. To conclude the article, the authors present a brief further prospective on this new domain, highlighting existing gaps that are specifi cally related to artifi cial intelligence technologies, such as explainability, cost-effectiveness, and, of course, the importance of proper regulatory oversight for each clinical implementation.

Keywords: AI-ECG; AI-wearables; Digital health; Cardiovascular medicine; Big data; Machine learning

Received: December 21, 2022; Accepted: December 21, 2022; Published: December 30, 2022  Show citation

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Vardas PE, Asselbergs FW, van Smeden M, Friedman P. The year in cardiovascular medicine 2021: digital health and innovation. Cor Vasa. 2022;64(Suppl. 4):7-17.
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