Radiomics and artificial intelligence (AI) have emerged as promising tools in musculoskeletal (MSK) imaging, offering a range of applications that improve image quality, diagnosis and treatment, and ultimately enhance patient outcomes. AI has enabled more efficient and precise image acquisition preparation, including protocol selection, prioritization, and artifact reduction, leading to higher quality images. In the diagnosis phase, AI has enabled automated diagnosis, automated measurement  and  screening,  aiding  in decision making for clinicians. AI algorithms also aid in implant detection, allowing for faster and more accurate diagnosis of implant- related complications. In the treatment phase, AI can assist in treatment selection and predict patient response to therapies, leading to improved outcomes. Overall, the integration of radiomics and AI into MSK imaging is expected to continue to transform the field and improve patient care.