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Application of artificial intelligence technologies in cardiovascular disease detection and management authors

https://doi.org/10.18705/2311-4495-2024-11-6-562-576

EDN: TVFHTK

Abstract

Cardiovascular diseases (CVD) remain the leading cause of death worldwide, including in the Russian Federation. Early detection and continuous monitoring are crucial to reduce mortality and improve patient outcomes. This article examines the use of artificial intelligence technologies in the detection and treatment of cardiovascular diseases, emphasizing their potential for the development of the field of cardiology. A comprehensive literature search was conducted using, focusing on studies in which artificial intelligence was used to diagnose, treat, and monitor cardiovascular diseases. The review includes an analysis of various artificial intelligence methods, including machine learning and neural networks, and their effectiveness in detecting heart rhythm disorders using wireless sensors and wearable devices. The review highlights promising solutions using artificial intelligence developed both internationally and in the Russian Federation, and provides practical recommendations for their implementation. By addressing existing research gaps and offering directions for the future, the article aims to improve the understanding and application of artificial intelligence in cardiology, which ultimately contributes to improved patient care and treatment outcomes.

About the Authors

G. G. Kutelev
Federal state budgetary military educational institution of higher education “Military Medical Academy named after S.M. Kirov” of the Ministry of defence of the Russian Federation
Russian Federation

Gennady G. Kutelev - Doctor of Medical Sciences, Professor at the Department of Naval Therapy, Military Medical Academy named after S.M. Kirov.

Akademika Lebedeva str., 6, Saint Petersburg, 194044


Competing Interests:

None



S. A. Parfenov
Federal state budgetary military educational institution of higher education “Military Medical Academy named after S.M. Kirov” of the Ministry of defence of the Russian Federation
Russian Federation

Sergei A. Parfenov - Ph.D. of Medical Sciences, Doctoral Candidate at the Department of General and Military Epidemiology, Military Medical Academy named after S.M. Kirov.

Saint Petersburg


Competing Interests:

None



K. V. Sapozhnikov
Federal state budgetary military educational institution of higher education “Military Medical Academy named after S.M. Kirov” of the Ministry of defence of the Russian Federation
Russian Federation

Kirill V. Sapozhnikov - Ph.D. of Medical Sciences, Lecturer at the Department of automation of medical service management with military medical statistics, Military Medical Academy named after S.M. Kirov.

Saint Petersburg


Competing Interests:

None



A. A. Lazarev
Saint Petersburg Electrotechnical University “LETI”
Russian Federation

Andrey A. Lazarev - Postgraduate student, The Bonch-Bruevich Saint Petersburg State University of Telecommunications.

Saint Petersburg


Competing Interests:

None



A. A. Kuzin
Federal state budgetary military educational institution of higher education “Military Medical Academy named after S.M. Kirov” of the Ministry of defence of the Russian Federation
Russian Federation

Aleksandr A. Kuzin - Doctor of Medical Sciences, Professor, Head of the Department of Common and Military Epidemiology, Military Medical Academy named after S.M. Kirov.

Saint Petersburg


Competing Interests:

None



R. I. Glushakov
Federal state budgetary military educational institution of higher education “Military Medical Academy named after S.M. Kirov” of the Ministry of defence of the Russian Federation
Russian Federation

Ruslan I. Glushakov - Doctor of Medical Sciences, Head of the Research Department (Medical and Biological Research) of the Research Center, Military Medical Academy named after S.M. Kirov.

Saint Petersburg


Competing Interests:

None



S. O. Samokhin
Federal state budgetary military educational institution of higher education “Military Medical Academy named after S.M. Kirov” of the Ministry of defence of the Russian Federation
Russian Federation

Simon O. Samokhin - Resident in the specialty “Therapy”, Military Medical Academy named after S.M. Kirov.

Saint Petersburg


Competing Interests:

None



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Review

For citations:


Kutelev G.G., Parfenov S.A., Sapozhnikov K.V., Lazarev A.A., Kuzin A.A., Glushakov R.I., Samokhin S.O. Application of artificial intelligence technologies in cardiovascular disease detection and management authors. Translational Medicine. 2024;11(6):562-576. (In Russ.) https://doi.org/10.18705/2311-4495-2024-11-6-562-576. EDN: TVFHTK

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ISSN 2311-4495 (Print)
ISSN 2410-5155 (Online)