Fusion: Practice and Applications FPA 2692-4048 2770-0070 10.54216/FPA https://www.americaspg.com/journals/show/1671 2018 2018 Computer Science Department, College of Computer Science & Information Technology, University of Anbar, Anbar, Iraq Huda Ghazi Enad Computer Science Department, College of Computer Science & Information Technology, University of Anbar, Anbar, Iraq Mazin Abed Mohammed 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. 2023 2023 08 25 10.54216/FPA.110101 https://www.americaspg.com/articleinfo/3/show/1671