Artificial Intelligence-Powered Precision Medicine for Cardi-ovascular Disease Prevention and Management

Abstract Artificial intelligence (AI) is transforming precision medicine, particularly in cardiovascular disease prevention and management. This bibliometric analysis examines the research land-scape from 2020 to 2024, focusing on AI's role in improving diagnostics, personalizing treatment, and advancing predictive healthcare. Using the PRISMA framework, VOSviewer, Harzing's Publish or Perish, and Excel, 137 articles from Scopus were systematically ana-lyzed. The study reveals a significant surge in research activity, with 2024 marking a peak. Machine learning and deep learning are central to key advancements, enabling early detec-tion and risk prediction. Contributions from leading institutions highlight the global and in-terdisciplinary nature of this field, with studies demonstrating AI's potential to integrate complex datasets and deliver tailored therapies. While AI-driven innovations show promise, challenges such as ethical concerns and healthcare disparities remain. This analysis under-scores AI's transformative potential in precision medicine and identifies opportunities for equitable, collaborative advancements. Keywords: Artificial Intelligence, Machine Learning, Cardiovascular Disease, Heart Dis-ease, Coronary Artery Disease, Precision Medicine, Treatment摘要 人工智能（Artificial Intelligence, AI）正深刻变革精准医学，尤其在心血管疾病的预防与管理领域。本文献计量分析针对2020至2024年的研究格局展开考察，聚焦人工智能在提升诊断水平、优化治疗个性化以及推进预测性医疗方面的核心作用。研究遵循PRISMA框架，借助VOSviewer、Harzing's Publish or Perish及Excel工具，对Scopus数据库收录的137篇文献进行了系统分析。结果表明，该领域的研究活动呈现显著增长趋势，2024年达到研究峰值。机器学习与深度学习是推动核心进展的关键技术，可实现疾病早期检测与风险预测。顶尖科研机构的研究贡献凸显了该领域的全球化与跨学科属性，相关研究证实人工智能具备整合复杂数据集并提供定制化治疗方案的潜力。尽管人工智能驱动的创新展现出巨大应用前景，但仍面临伦理争议与医疗公平差距等诸多挑战。本分析凸显了人工智能在精准医学中的变革性潜力，并明确了推动公平协作式发展的可行机遇。 关键词：人工智能（Artificial Intelligence）、机器学习（Machine Learning）、心血管疾病（Cardiovascular Disease）、心脏病（Heart Disease）、冠状动脉疾病（Coronary Artery Disease）、精准医学（Precision Medicine）、治疗（Treatment）