Heart Sound and Cardiovascular Diseases under the Background of Artificial Intelligence + Medical and Health Care

Corresponding author: Ma Xiang, 2533487663@qq.com

DOI: 10.12201/bmr.202601.00055

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  Abstract: Cardiovascular disease is the leading cause of death and disability worldwide. Early diagnosis and accurate prognostic evaluation are core challenges in clinical diagnosis and treatment, while traditional detection methods are difficult to meet the demand for popularized out-of-hospital monitoring. Heart sound signals, with the advantages of non-invasiveness, low cost, and accessibility at home, have become a potential carrier for out-of-hospital monitoring of cardiovascular diseases supported by artificial intelligence (AI) technology. AI technology has broken through the limitations of traditional heart sound analysis, promoting its automated and accurate analysis, and has shown significant value in the screening and prognostic evaluation of valvular heart disease, congenital heart disease, coronary heart disease, heart failure and other diseases. However, current studies mostly focus on diagnostic feasibility, lacking evidence of association with clinical hard outcomes and multi-center validation data. This article reviews the research progress in this field, evaluates the application potential of heart sounds as longitudinal biomarkers, and prospects their clinical transformation prospects.

  Key words: ; ; ; ; 

  Submit time: 18 January 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  1	2025-12-27	10.12201/bmr.202601.00055V1	Download

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