Data science is likely to lead to major changes in cardiovascular imaging. Problems with
timing, efficiency, and missed diagnoses occur at all stages of the imaging chain. The …

Mathematical and numerical modelling of the cardiovascular system is a research topic that
has attracted remarkable interest from the mathematical community because of its intrinsic …

Recent computational methods enabling patient-specific simulations of native and prosthetic
heart valves are reviewed. Emphasis is placed on two critical components of such …

Data science has transformed fields such as computer vision and economics. The ability of
modern data science methods to extract insights from large, complex, heterogeneous, and …

The mitral valve is a complex anatomical structure whose physiological functioning relies on
the biomechanical properties and structural integrity of its components. Their compromise …

Purpose of review The ripples of artificial intelligence are being felt in various sectors of
human life. Machine learning, a subset of artificial intelligence, extracts information from …

Heart valves control unidirectional blood flow within the heart during the cardiac cycle. They
have a remarkable ability to withstand the demanding mechanical environment of the heart …

Numerical models of native heart valves are being used to study valve biomechanics to aid
design and development of repair procedures and replacement devices. These models …

Recent long-term studies showed an unsatisfactory recurrence rate of severe mitral
regurgitation 3–5 years after surgical repair, suggesting that excessive tissue stresses and …

Comprehensive visual and quantitative analysis of in vivo human mitral valve morphology is
central to the diagnosis and surgical treatment of mitral valve disease. Real-time 3D …