[Current Landscape and Commercialization of AI Models in Musculoskeletal Imaging]

AI-based software as a medical device (SaMD) using deep learning applications for musculoskeletal diseases is being clinically implemented in South Korea, although it is still in its early stages in the musculoskeletal field compared to other fields of radiology, such as neuroradiology, chest, and breast imaging. AI models for detecting various fractures, estimating pediatric bone age, calculating geometric skeleton measurements, grading arthritis, and osteoporosis screening have shown high diagnostic performance, and many of these applications are now commercially available for use in clinical practice. Many studies have documented the feasibility of using an AI model for detecting joint pathology on MRI and interpreting spine MRIs. This review provides information on the domestic and international commercialization status of AI-based SaMD for musculoskeletal imaging and beneficial considerations for its application in clinical practice, helping readers who are interested in the field application of musculoskeletal imaging AI models in their decision-making.