| Osteoporosis is a systemic bone disease characterized by osteopenia, which threatens the life and health of middle-aged and elderly people and has a high incidence. There are still many inadequacies in the diagnosis of the disease using the present medical techniques. As a new technique, radiomics transforms the conventional image into the data that can be mined and constructs the relevant model after artificial intelligence algorithm processing, then provides the objective and accurate result for clinical diagnosis and treatment. At present, this technique shows great potential and clinical value in the diagnosis of osteoporosis. In this article, the authors review the application of radiomics in the evaluation of osteoporosis bone mass, the diagnosis of postmenopausal osteoporosis, the diagnosis of middle-aged and elderly osteoporosis, and the prediction and diagnosis of the incidence of osteoporotic fracture. At the same time, the current limitations and future development direction of this technology in osteoporosis are explored. |