Artificial Intelligence-Powered Precision Medicine for Cardi-ovascular Disease Prevention and Management
Budi Susilo, Y. K.; Abdul Rahman, S.; Amgain, K.; Yuliana, D.
Show 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 AIs role in improving diagnostics, personalizing treatment, and advancing predictive healthcare. Using the PRISMA framework, VOSviewer, Harzings Publish or Perish, and Excel, 137 articles from Scopus were systematically analyzed. 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 detection and risk prediction. Contributions from leading institutions highlight the global and interdisciplinary nature of this field, with studies demonstrating AIs 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 underscores AIs transformative potential in precision medicine and identifies opportunities for equitable, collaborative advancements.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.