Femoral fractures represent one of the leading causes of disability and mortality worldwide, with a steadily increasing incidence among the elderly population due to the rising prevalence of osteoporosis and bone fragility. In Italy, fragility fractures exceed 500,000 cases per year, with a significant proportion involving the proximal femur. The clinical management of these fractures requires prompt and accurate diagnosis, which is essential for defining the most appropriate treatment strategy and for reducing postoperative complications and healthcare costs. However, traditional radiological diagnosis still largely relies on the physician’s subjective experience, leading to inevitable variability and potential diagnostic inconsistencies. In recentyears, the evolution of neuromorphics has introduced new perspectives in medical imaging diagnostics, enabling the automation of fracture detection, segmentation, and classification processes.