Practical Applications of AI in MSK Radiology
January 9, 2026
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4 min
The scoping review led by Mickael Tordjman, MD, MS, details the transformative impact of artificial intelligence (AI) on musculoskeletal (MSK) radiology, addressing image acquisition, interpretation, and workflow integration. It highlights applications like deep learning for image reconstruction and automated fracture detection, asserting that these advancements improve diagnostic performance and workflow efficiency. The review emphasizes that AI enhances rather than replaces radiologist expertise, stressing the necessity for clear guidelines and integration into clinical practices to ensure patient safety and cost-effectiveness.
1. AI is embedded in multiple stages of musculoskeletal radiology. 2. Applications include fracture detection and deep learning for image reconstruction. 3. AI enhances workflow and reduces scan times. 4. Radiomics models help distinguish tumor types. 5. Successful AI integration requires clear guidelines and regulatory adherence. 6. AI should assist, not replace, radiologist expertise. 7. Cost-effectiveness is essential for long-term AI adoption.
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