Impact of Artificial Intelligence in Cardiovascular Disease

Abstract

The field of medicine has made tremendous progress; however, cardiovascular disease (CVD) is still the major reason of death cause in the present world. Still, major studies are required to improve CVD death ratio. One of the areas which can be exploited in order to reduce CVD is by working on medical imaging. The Artificial Intelligence (AI) strategies such as machine and deep learning with advance clinical data can be benefited to make the unavoidable healthcare benefit through which elderly and constant infection patients can get restorative care at their domestic, lessening hospitalizations and making strides in quality of life. The CVD may be a key chance to well-being and the critical source of death worldwide. The event of CVD created 17.6 million deaths in 2016, an increment of 14.5% from 2006 to 2016 [1]. The mortality and disease rates of CVD are growing yearly, specifically in emerging countries [2]. Reports have shown that up to around 80% of CVD-related deaths occur in developing countries. Other than that, these deaths occur at a very young age in developed countries [3]. Furthermore, current pandemic COVID-19 has also higher impact on CVD patients. CVD has put an overwhelming burden on patients and civilization as an entire. Hence, it is necessary to develop techniques for moving forward with determination to cure the CVD in coming years for better future. The AI can be one of the sources and can help to find the solutions for CVD related diseases.

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