【摘要】 近年来，心血管疾病的发病率持续上升，引发了对创新诊断和管理技术的需求。人工智能辅助的心音分析技术，基于电子听诊器和计算机辅助的心音分析算法，已成为研究的热点。该技术能够实现对心音信号的精确量化分析与分类识别，在瓣膜性心脏病、冠状动脉疾病、先天性心脏病、心力衰竭以及血压评估等领域展现出重要价值。人工智能系统不仅提高了心音分析的敏感性和特异性，还推动了医疗资源不足地区基层诊疗水平的提升，其在算法上的进展包括基于深度学习的特征提取、心音信号去噪与增强，以及心脏病风险预测模型的开发。本文讨论人工智能心音分析系统在心血管疾病诊断中的应用现状与进展，为未来技术的临床转化和研究方向提供参考。更多还原

【Abstract】 In recent years, the prevalence of cardiovascular diseases has been rising, creating a pressing need for innovative diagnostic and management solutions. Artificial intelligence(AI)-assisted heart sound analysis, powered by electronic stethoscopes and computer-aided algorithms of heart sound analysis, has become a prominent area of research. This technology enables precise quantitative analysis, and classification and identification of heart sound signals, demonstrating significant utility in valvular heart disease, coronary artery disease, congenital heart defects, heart failure, and blood pressure assessment. AI systems not only enhance the sensitivity and specificity of heart sound analysis, but also promote the improvement of primary care diagnostics in medical resource-limited settings. Advance in algorithmic aspects include deep learning-based feature extraction, denoising and enhancement of heart sound signals, and development of prediction models for cardiovascular risk assessment. This review explores the current applications and progress of AI heart sound analysis systems in the diagnosis of cardiovascular diseases, providing insights into future clinical applications and research directions.更多还原