Utilizing Artificial Intelligence for Early Detection of Cardiovascular Diseases: A Review of Current Applications and Future Prospects
Abstract
Cardiovascular diseases (CVDs) remain a leading cause of mortality globally. This paper reviews recent advancements in utilizing artificial intelligence (AI) techniques, such as machine learning and deep learning, for early detection and diagnosis of CVDs. The paper discusses various AI-based approaches, including predictive modeling, image analysis, and data-driven risk assessment, highlighting their strengths and limitations. Furthermore, the paper explores future directions and challenges in integrating AI technologies into clinical practice to improve CVD management and patient outcomes.
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References
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