Cor Vasa 2022, 64(6):645-556 | DOI: 10.33678/cor.2022.123

(Wearables, telemedicine, and artificial intelligence in arrhythmias and heart failure: Proceedings of the European Society of Cardiology Cardiovascular Round Table. Translation of the document prepared by the Czech Society of Cardiology)

Miloš Táborskýa, Josef Kautznerb, Marián Fedorcoa, Karol Čurilac, Hanka Wünschováb, Jan Pyszkoa, Miroslav Novákd, Milan Kozáke, Martin Válekf, Rostislav Polášekg, Patrik Keprta, Milena Kubíčkováh, Jiří Plášekch, Vít Glogeri, Alan Bulavaj, Vlastimil Vančurak, Tomáš Skálaa, Petr Pařízekl, Josef Daněkm
a I. interní klinika - kardiologická, Lékařská fakulta Univerzity Palackého v Olomouci a Fakultní nemocnice Olomouc, Olomouc
b Klinika kardiologie, Institut klinické a experimentální medicíny, Praha
c Kardiologická klinika, 3. lékařská fakulta Univerzity Karlovy a Fakultní nemocnice Královské Vinohrady, Praha
d I. interní kardioangiologická klinika, Lékařská fakulta Masarykovy univerzity a Fakultní nemocnice u sv. Anny v Brně, Brno
e Interní kardiologická klinika, Lékařská fakulta Masarykovy univerzity a Fakultní nemocnice Brno, Brno
f II. interní klinika kardiologie a angiologie, 1. lékařská fakulta Univerzity Karlovy a Všeobecná fakultní nemocnice v Praze, Praha
g Kardiovaskulární centrum, Krajská nemocnice Liberec, a.s., Liberec
h Kardiologická klinika, Fakulta zdravotnických studií Univerzity J. E. Purkyně v Ústí nad Labem a Krajská zdravotní, a.s., a Masarykova nemocnice v Ústí nad Labem, o. z., Ústí nad Labem
ch Interní a kardiologická klinika, Lékařská fakulta Ostravské univerzity a Fakultní nemocnice Ostrava, Ostrava
i Kardiologické oddělení, Krajská nemocnice Tomáše Bati ve Zlíně, Zlín
j Kardiologické oddělení, Nemocnice České Budějovice, a.s., České Budějovice a Zdravotně sociální fakulta Jihočeské univerzity v Českých Budějovicích, České Budějovice
k Kardiologická klinika, Lékařská fakulta Plzeň, Univerzita Karlova a Fakultní nemocnice Plzeň, Plzeň
l I. interní kardioangiologická klinika, Lékařská fakulta Univerzity Karlovy a Fakultní nemocnice Hradec Králové, Hradec Králové
m Kardiologické oddělení, Interní klinika, 1. lékařská fakulta Univerzity Karlovy a Ústřední vojenská nemocnice, Praha

Digital technology is now an integral part of medicine. Tools for detecting, screening, diagnosis, and monitoring health-related parameters have improved patient care and enabled individuals to identify issues leading to better management of their own health. Wearable technologies have integrated sensors and can measure physical activity, heart rate and rhythm, and glucose and electrolytes. For individuals at risk, wear- ables or other devices may be useful for early detection of atrial fibrillation or sub-clinical states of cardiovascular disease, disease management of cardiovascular diseases such as hypertension and heart failure, and lifestyle modification. Health data are available from a multitude of sources, namely clinical, laboratory and imaging data, genetic profiles, wearables, implantable devices, patient-generated measurements, and social and environmental data. Artificial intelligence is needed to efficiently extract value from this constantly increasing volume and variety of data and to help in its interpretation. Indeed, it is not the acquisition of digital information, but rather the smart handling and analysis that is challenging. There are multiple stakeholder groups involved in the development and effective implementation of digital tools. While the needs of these groups may vary, they also have many commonalities, including the following: a desire for data privacy and security; the need for understandable, trustworthy, and transparent systems; standardized processes for regulatory and reimbursement assessments; and better ways of rapidly assessing value.

Keywords: Artifi cial intelligence, Digital healthcare solutions, Early detection, M-health, Monitoring, Wearable devices

Received: November 6, 2022; Accepted: November 14, 2022; Published: December 15, 2022  Show citation

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Táborský M, Kautzner J, Fedorco M, Čurila K, Wünschová H, Pyszko J, et al.. (Wearables, telemedicine, and artificial intelligence in arrhythmias and heart failure: Proceedings of the European Society of Cardiology Cardiovascular Round Table. Translation of the document prepared by the Czech Society of Cardiology). Cor Vasa. 2022;64(6):645. doi: 10.33678/cor.2022.123.
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References

  1. Leclercq C, Witt H, Hindricks G, et al. Wearables, telemedicine, and artificial intelligence in arrhythmias and heart failure: Proceedings of the European Society of Cardiology Cardiovascular Round Table. Europace 2022;24:1372-1383. Go to original source... Go to PubMed...




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