Application of artificial intelligence in mathematical modeling of coronary blood flow

Cardiovascular diseases (CVD) are the leading cause of death and disability worldwide. In 2021 alone, there were more than 20 million deaths attributed to CVD, accounting for about a third of all deaths worldwide. An important factor influencing the mortality rate from cardiovascular diseases is the diagnostic and therapeutic strategies used to treat coronary heart disease. Investments in this area over the past 25 years have led to a reduction in the death rate from cardiovascular diseases in countries with a high socio-demographic index. Accurate diagnosis is the first step to choosing the appropriate treatment method. The objective of the research is to study the literature data on the possibility of using artificial intelligence and mathematical modeling of medical research, in particular coronary angiography, for the analysis and development of computer programs for modeling cardiovascular and endovascular surgical interventions. The search for Russian and foreign literature in Yandex and Google search engines, medical research websites PUB.MED was conducted using keywords: coronary angiography and artificial intelligence, mathematical modeling, fractional blood flow reserve, 3D modeling, coronary artery disease, percutaneous coronary intervention. The practical application of AI to create mathematical models will allow reconstructing 3D pictures of coronary arteries, modeling blood flow, which significantly optimizes the treatment of coronary artery disease. This will make it possible to effectively plan endovascular interventions based on the patient's data in the absence of the patient himself. Further study of this issue promises great prospects for the development of mathematical modeling of coronary blood flow, making effective decisions during interventional procedures, which will reduce the incidence and mortality from cardiovascular diseases.