Artificial intelligence (AI) and machine learning (ML) techniques are revolutionizing several
industrial and research fields like computer vision, autonomous driving, natural language …

Purpose The finite element method (FEM) is the preferred method to simulate phenomena in
anatomical structures. However, purely FEM‐based mechanical simulations require …

Spinal maladies are among the most common causes of pain and disability worldwide.
Imaging represents an important diagnostic procedure in spinal care. Imaging investigations …

Conventional biomechanical modelling approaches involve the solution of large systems of
equations that encode the complex mathematical representation of human motion and …

从事高强度的体力工作者经常会发生肌肉软组织的损伤, 因此对骨骼肌的变形特性和应力分布的
研究受到了越来越多的重视. 获取正确的本构参数对于生物软组织的力学行为的研究至关重要 …

Current trends for long term gait monitoring relies on estimations made via machine
learning. As such, this work investigates the viability of feedforward neural network (FFNN) …

Knee contact force (KCF) is one of the most meaningful parameters to evaluate function of
the knee joint. However in vivo measurement of KCF is not always straight forward. Inverse …

Background Articular geometry of knee implant has a competing impact on kinematics and
contact mechanics of total knee arthroplasty (TKA) such that geometry with lower contact …

Studies on the deformation characteristics and stress distribution in loaded skeletal muscles
are of increasing importance. Reliable prediction of hyperelastic material parameters …

The medical community has been focusing on gaining a deeper understanding of birth
trauma, which affects millions of women worldwide. Maternal lesions can be challenging to …