Advances in Artificial Intelligence for Cardiovascular System: Present Applications and Future Directions
Abstract
AI is a novel technology that has been used in heart treatment for a long time. It has made it easier to diagnose, assess risk, treat, and keep an eye on patients in a method that costs less. Cardiovascular diseases (CVDs) continue to be the primary cause of global death. AI-based technologies like machine learning (ML), deep learning (DL), and natural language processing (NLP) have made it possible for doctors to look at data that is getting more and more complicated with accuracy and speed. The article talks about some of the most popular AI-based clinical tools that cardiologists utilize right now. These are cardiac imaging, predictive analytics, wearable technologies, and systems that help doctors make decisions. We will talk about how AI could be used in the future between groups of people, such as in genomics, robotic interaction, and digital twins, to mention a few. This article aims to summarize previously reported accomplishments and highlight their importance in advancing research, evaluating evidence-based clinical management, and improving AI accessibility to enhance patient outcomes in cardiovascular disease.
Fields of Study & Subjects
Artificial Intelligence in Healthcare and Education
Artificial Intelligence in Healthcare
Artificial Intelligence Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 January 2026