Purpose of Review <p>This review aims to summarise the current application and development trends of artificial intelligence in opportunistic screening for osteoporosis, with a focus on its potential to improve early detection and management of the disease.</p> Recent Findings <p>Recent advancements in AI, including radiomics, deep learning, and transfer learning, have significantly enhanced the efficacy of opportunistic screening for osteoporosis. Imaging modalities such as chest X-rays, lumbar X-rays, chest CT, hip joint CT, PET-CT, and lumbar magnetic resonance imaging have been successfully integrated into AI-driven screening protocols. These technologies have demonstrated acceptable efficacy in detecting osteoporosis, with the potential to increase the probability of identifying at-risk individuals. The evolution of image processing and segmentation techniques further supports the prospect of achieving fully automated AI-based opportunistic screening in the near future.</p> Summary <p>The integration of AI into opportunistic screening for osteoporosis shows promise in improving early detection rates, particularly in aging populations. Achieving automatic segmentation of Region of Interest areas based on common medical imaging is a critical step in enabling opportunistic osteoporosis screening using artificial intelligence.</p>