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