Hemodynamic modeling, medical imaging, and machine learning and their applications to cardiovascular interventions

M Kadem, L Garber, M Abdelkhalek… - IEEE Reviews in …, 2022 - ieeexplore.ieee.org
Cardiovascular disease is a deadly global health crisis that carries a substantial financial
burden. Innovative treatment and management of cardiovascular disease straddles …

Deep learning for computational hemodynamics: A brief review of recent advances

A Taebi - Fluids, 2022 - mdpi.com
Computational fluid dynamics (CFD) modeling of blood flow plays an important role in better
understanding various medical conditions, designing more effective drug delivery systems …

Accelerating massively parallel hemodynamic models of coarctation of the aorta using neural networks

B Feiger, J Gounley, D Adler, JA Leopold… - Scientific reports, 2020 - nature.com
Comorbidities such as anemia or hypertension and physiological factors related to exertion
can influence a patient's hemodynamics and increase the severity of many cardiovascular …

Functional coronary artery assessment: a systematic literature review

SA Freitas, D Nienow, CA Da Costa… - Wiener Klinische …, 2021 - Springer
Cardiovascular diseases represent the number one cause of death in the world, including
the most common disorders in the heart's health, namely coronary artery disease (CAD) …