The Potential of Deep Learning to Advance Clinical Applications of Computational Biomechanics

GA Truskey - Bioengineering, 2023 - mdpi.com
When combined with patient information provided by advanced imaging techniques,
computational biomechanics can provide detailed patient-specific information about …

Advancing clinical translation of cardiac biomechanics models: a comprehensive review, applications and future pathways

C Rodero, TMG Baptiste, RK Barrows, A Lewalle… - Frontiers in …, 2023 - frontiersin.org
Cardiac mechanics models are developed to represent a high level of detail, including
refined anatomies, accurate cell mechanics models, and platforms to link microscale …

A neural network finite element approach for high speed cardiac mechanics simulations

S Motiwale, W Zhang, R Feldmeier… - Computer Methods in …, 2024 - Elsevier
Comprehensive image-based computational modeling pipelines are being actively
developed for high-fidelity patient-specific cardiac simulations. However, conventional …

Structural constitutive models for soft biological tissues and biomaterials: the role of mechanical interactions

S Motiwale, MS Sacks - Mechanics of Soft Materials, 2025 - Springer
In this review, we explore the development of the structural constitutive models for soft
biological tissues and biomaterials, focusing on the role of mechanical interactions. Soft …

On in-silico estimation of left ventricular end-diastolic pressure from cardiac strains

EA Mendiola, RR Mehdi, DJ Shah… - arXiv preprint arXiv …, 2024 - arxiv.org
Left ventricular diastolic dysfunction (LVDD) is a group of diseases that adversely affect the
passive phase of the cardiac cycle and can lead to heart failure. While left ventricular end …