Why the study?
Traditional approaches to cardiovascular disease prevention, diagnosis, and treatment struggle to keep up with increasing disease prevalence, creating an opportunity for AI to optimize management.
Artificial intelligence, specifically machine learning and deep learning, shows significant potential to revolutionize cardiovascular disease diagnosis across various imaging and electrocardiographic modalities.
AI applications may optimize CVD care; leaves open the need for prospective validation before practice change.
Background: Cardiovascular diseases present a significant global health challenge and remain the leading cause of death worldwide. However, traditional approaches to prevention, diagnosis, and treatment struggle to keep up with the increasing prevalence of these diseases. Aim: To enhance patient outcomes and optimize healthcare resource utilization. Artificial intelligence (AI), specifically machine learning and deep learning, has rapidly emerged as a promising tool with the potential to revolutionize various aspects of cardiovascular disease management, including detection, diagnosis, and treatment. Method: Reviewed the current literature surrounding AI techniques using PubMed, Science Direct, NCBI and Google Scholar, specifically exploring machine learning and deep learning, and their application in diagnosing heart disease. The focus was on AI's role in improving diagnostic techniques such as echocardiography, cardiac magnetic resonance imaging, computed tomography angiography, and electrocardiogram analysis. Results: AI has promising applications in various aspects of cardiovascular disease management. Its application in diagnostic techniques can help detect, diagnose, and treat heart disease, ultimately leading to more accurate and personalized treatments. Practical Implication: By integrating these advanced technologies into clinical practice, we can transform the diagnosis and management of heart diseases, leading to more accurate and personalized diagnostics and treatments. Conclusion: AI presents a significant potential in transforming the global health landscape by enhancing cardiovascular disease management. By leveraging these advanced technologies, clinicians can improve patient care and overall outcomes while addressing the increasing prevalence of these diseases.
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Chaudhary et al. (2024) studied this question.
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