Osteoporosis Diagnosis

Osteoporosis diagnosis aims to identify this debilitating bone disease early, improving patient outcomes and reducing fracture risk. Current research focuses on developing automated diagnostic tools using readily available imaging data like X-rays and CT scans, employing deep learning models such as vision transformers, convolutional neural networks, and variational autoencoders to analyze bone structure and predict bone mineral density or fracture risk. These advancements leverage both supervised and self-supervised learning techniques, aiming to provide accurate, cost-effective, and accessible screening methods, potentially transforming osteoporosis management and public health initiatives.