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 …

Mathematical and numerical modelling of the human cardiovascular system has attracted
remarkable research interest due to its intrinsic mathematical difficulty and the increasing …

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 …

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 …

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

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 …

医学影像人工智能技术的研究与进展, 将极大促进现代心脏瓣膜病介入诊疗的进步. 超声心动图,
心脏磁共振, CT 与心血管造影等成像技术, 在心脏瓣膜病介入治疗术前患者精准筛选 …

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 …