Femoral fractures are common in the elderly, primarily due to age-related osteoporosis and the increased risk of falls. Recently, in silico methodologies have gained significant attention for predicting fracture risk, particularly in the context of osteoporosis management. To be effective in clinical settings, they require automatization, which reduces analysis time, enhances accessibility through hospital system integration, and standardizes results for consistency regardless of operator experience. In this context, this study presents a practical application of a novel in-silico methodology, the Bologna Biomechanical Computed Tomography at the hip (BBCT-hip), which integrates patient-specific Finite Element (FE) simulations and a stochastic mathematical model to predict the femoral absolute risk of fractures at time 0 (ARF0).