A comprehensive review on CFD simulations of left ventricle hemodynamics: numerical methods, experimental validation techniques, and emerging trends

Globally, high death rates due to heart failure are an essential topic in medical research. Cardiovascular disease is the leading cause of cardiac dysfunction and collapse, with high mortality and morbidity rates. Early diagnosis and prognosis of CVD will reduce the risk of cardiovascular conditions. It is essential to develop various tools that provide accurate, real-time insight into the heart's physiology, functionality, and cardiac events. Due to the dispersed nature of the information and the reported results, a comprehensive literature review is required because there is a shortage of data about the hemodynamics analysis of blood flow in the ventricular region. Therefore, reviewing the status of hemodynamics analysis of ventricle blood flow is the prime importance of this review article. This article reviews the numerous investigations conducted over the past 15 years to simulate ventricular blood flow using experimental and computational techniques on patient-specific models or idealized models with or without specific medical conditions. This article discusses the fundamentals of hemodynamic analysis, such as the geometry types of a particular cardiac phase, medical conditions, and medical imaging methods. Recent developments in hemodynamic analysis, such as AI, HPC, and digital twins, were also mentioned in this comprehensive review study. This review article concluded that improvements in medical image processing and data acquisition techniques are needed to obtain accurate information regarding the functioning of the heart. Our review of previous studies shows that blood flow simulation is developing into a proper medical tool for instant heart function diagnosis.