The Italian Society of Cardiology and Working Group on Telecardiology and Informatics 2023 updated position paper on telemedicine and artificial intelligence in cardiovascular disease

Author:

Brunetti Natale D.1,Curcio Antonio2,Nodari Savina34,Parati Gianfranco5,Carugo Stefano67,Molinari Martina8,Acquistapace Flavio9,Gensini Gianfranco10,Molinari Giuseppe11

Affiliation:

1. Division of Cardiology, Department of Medical & Surgical Sciences, University of Foggia, Foggia

2. Division of Cardiology, Department of Medical and Surgical Sciences, University ‘Magna Graecia’ of Catanzaro, Catanzaro

3. Dept. of Medical and Surgical Specialities, Radiological Sciences and Public Health-University of Brescia Medical School

4. University of Brescia Medical School, Brescia

5. Cardiology Unit, Auxologico San Luca

6. Department of Clinical Sciences and Community Health

7. Cardiology Unit, Dept. of Internal Medicine, Fondazione IRCCS Ca’ Granda Ospedale Maggiore, University of Milan, Milan

8. Department of Cardiology, Ospedale ‘P.A. Micone’, ASL 3 Genovese, Genoa, Italy

9. Centro Medico Cardiologico Hospita Suisse, Lugano, Switzerland

10. IRCCS MultiMedica, Sesto San Giovanni, Milan

11. ‘Telemedico Srl’ Telecardiology Center, Genoa, Italy

Abstract

In 2015, the Italian Society of Cardiology and its Working Group on Telemedicine and Informatics issued a position paper on Telecardiology, resuming the most eminent evidence supporting the use of information and communication technology in principal areas of cardiovascular care, ranked by level of evidence. More than 5 years later and after the global shock inflicted by the SARS-CoV-2 pandemic, an update on the topic is warranted. Recent evidence and studies on principal areas of cardiovascular disease will be therefore reported and discussed, with particular focus on telemedicine for cardiovascular care in the COVID-19 context. Novel perspectives and opportunities disclosed by artificial intelligence and its applications in cardiovascular disease will also be discussed. Finally, modalities by which machine learning have realized remote patient monitoring and long-term care in recent years, mainly filtering critical clinical data requiring selective hospital admission, will be provided.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine,General Medicine

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