Machine Learning Acceleration of the DXA2FEM Pipeline for Femoral Bone Strength Prediction
Fragility fractures are a major health concern and accurate estimation of bone strength is important for fracture risk assessment. Finite element (FE) models can provide reliable estimates of femoral bone strength, but traditional approaches typically require three-dimensional imaging and computationally intensive model generation. Previous research has enabled reconstruction of subject-specific F
