Artificial intelligence in healthcare management: A new paradigm shift, transforming the practice of cardiovascular medicine

In the ever-evolving landscape of modern health care, the integration of artificial intelligence (AI) has emerged as a transformative force with the potential to revolutionize patient care, diagnosis, and treatment. The applications of AI in health professions are broad and promising, offering innovative solutions to age-old challenges. AI is not one technology, but rather a collection of them. Cardiovascular disease (CVD) is a major threat to human health and the leading cause of death worldwide. The incidence of CVD caused 17.6 million deaths in 2016, an increase of 14.5% from 2006 to 2016. Unfortunately, the mortality and morbidity rates of CVD are increasing year by year, especially in developing regions. Studies have shown that approximately 80% of CVD-related deaths occur in low- and middle-income countries. Besides, these deaths occur at a younger age than in high-income countries. In developing countries, rapid economic transformation leads to environmental changes and unhealthy lifestyles; in addition, population aging may increase cardiovascular risk factors and increase the incidence of CVD. CVD has placed a heavy burden on patients and society as a whole. Therefore, it is necessary to provide strategies for improving the diagnosis and treatment of CVD in the future. Currently, AI may have the potential to solve this problem. However, it has been more than 60 years since the introduction of the concept of AI. The application of AI in medicine is still unclear. This article attempts to make a brief review of the current state of AI in cardiovascular medicine applications based on available information.