Fracture Risk

Hip fracture risk assessment aims to identify individuals susceptible to these debilitating injuries, primarily focusing on older adults. Current research emphasizes developing accurate and efficient predictive models using machine learning techniques, such as ensemble methods, variational autoencoders, and deep learning architectures applied to various data sources including clinical variables, DXA and CT imaging, and even standard X-rays. These advancements aim to improve the accuracy and accessibility of fracture risk prediction, potentially leading to earlier interventions and reduced healthcare burdens by optimizing resource allocation and targeting preventative measures to high-risk individuals.