2692-4048ISSN (Online)
2770-0070ISSN (Print)
Volume 11 , Issue 1 , PP: 08-25, 2023 | Cite this article as | XML | Html | PDF | Review Article
Huda Ghazi Enad 1 * , Mazin Abed Mohammed 2
Doi: https://doi.org/10.54216/FPA.110101
This study presents a comprehensive analysis of the existing techniques and applications of artificial intelligence (AI) to cardiovascular disease diagnosis. The application of AI to the diagnosis of cardiac diseases can enhance diagnostic precision, diagnostic throughput, and patient outcomes. This literature survey analyzes state-of-the-art AI-based methods, rates their efficiency, examines potential future research and development avenues, and finds challenges and limitations, providing a foundational overview of main developments in AI, machine learning, deep learning, and quantum computing in relation to heart disease prevention. This study seeks to guide the use of AI-based techniques for heart disease detection, having an ultimate objective of enhancing patient outcomes through research and development. This review mainly emphasizes the significance of further studying and advancing AI for its ability to revolutionize the diagnosis and management of heart diseases.
Artificial intelligence , heart disease diagnosis , deep learning , quantum computing , machine learning , cardiovascular disease , Cleveland dataset.
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