Why the study?
Cardiovascular diseases remain the leading cause of death worldwide, and early detection and continuous monitoring are crucial to reduce mortality and improve patient outcomes.
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AI technologies, including machine learning and wearable sensors, offer promising solutions for the early detection and management of cardiovascular diseases.
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.
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Кутелев et al. (2025) studied this question.
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