The field of pediatric musculoskeletal imaging is undergoing significant advancements due to technological innovations and a growing emphasis on safety and patient-centered care. This review explores recent developments in imaging modalities such as advanced magnetic resonance imaging, ultrasound innovations, and artificial intelligence applications. Highlights include radiation dose-reduction techniques in radiography and computed tomography, enhanced diagnostic tools like contrast-enhanced ultrasound and ultra-high-frequency imaging, and the integration of artificial intelligence for pathology detection and workflow optimization. The adoption of advanced methods like whole-body magnetic resonance imaging and computed tomography-like magnetic resonance imaging sequences has improved diagnostic accuracy, minimized radiation exposure, and expanded the capabilities of noninvasive imaging. Emerging technologies, including photon-counting detector computed tomography and deep learning-based reconstructions, are transforming clinical practices by balancing precision and safety. Artificial intelligence applications are reshaping diagnostic approaches, automating complex assessments, and improving efficiency, although challenges such as external validation and limited scope persist. Functional imaging advancements, such as diffusion-weighted imaging and positron emission tomography-magnetic resonance imaging integration, are enhancing disease characterization and treatment planning. This review underscores the clinical impact of these innovations, emphasizing the need for standardized protocols, interdisciplinary collaboration, and continued research to address unmet needs in radiation safety and artificial intelligence integration. It aims to equip healthcare professionals with the knowledge to leverage these advancements for improved outcomes in pediatric musculoskeletal care.
Keywords: imaging; musculoskeletal; pediatric.
© The Author(s) 2025.