TOAIJun 9, 2025

AI-Driven Early Detection of Cardiovascular Diseases: Reducing Healthcare Costs and improving patient Outcomes

arXiv:2506.08229v11.24 citationsh-index: 10South Eastern European Journal of Public Health
Originality Synthesis-oriented
AI Analysis

This addresses early detection of cardiovascular diseases to improve patient outcomes and reduce healthcare costs, but it is incremental as it synthesizes existing research without new data or methods.

The study reviewed AI's applicability for early cardiovascular disease detection, finding that integrating AI algorithms can make diagnosis more accurate and less time-consuming.

The main goal from this study is to discuss the main features of Artificial intelligence (AI) as well as their applicability for early cardiovascular Disease (CVDs) Detection, Material and Method : Systematic review approach Results : It was seen that integrating AI algorithm the diagnosis of CVDs become more accurate and lee time consuming. Conclusion: Now the concept of using AI technologies in cardiovascular health care holds the potential to transform disease management .

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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