MANAGEMENT OF CARDIOVASCULAR DISEASE

Cardiovascular diseases (CVD) are the leading cause of mortality and morbidity globally, with 17.9 million deaths in 2019. In India, the CVD epidemic is characterized by rapid accumulation, early age of disease onset, and high case fatality rates. India experienced a 59% increase in premature mortality from 23.02 million in 1990 to 37. Million in 2010. Despite improvements in diagnosis and treatment, heart disease remains prevalent, with a 50% chance of developing it by age 45. The main causes of CVD are ischemic heart disease and stroke. India’s age-standardized CVD death rate is higher than the global average. Artificial intelligence can enhance the identification and treatment of cardiovascular disease by improving quality control and enhancing medical professionals’ expertise. This technology can be used in standard clinical procedures, including nanotechnology-based interventions, risk factors determination, treatment regimens, and patient tracking for chronic cardiovascular diseases. This article highlights the global and Indian burden of cardiovascular diseases (CVD), with rising mortality and early disease onset. It emphasizes the need for improved diagnosis and treatment, noting AI’s potential to enhance CVD management through better risk assessment, treatment strategies, and patient monitoring, including nanotechnology-based interventions.