AI in MSK radiology: from early CAD to deep learning and agentic workflows

A review maps the progression of AI in MSK radiology from early computer-aided diagnosis to current deep learning and explores emerging large language models and agentic AI for future clinical workflows.

• Driven by escalating imaging volumes and a shortage of subspecialized radiologists.
• Focuses on the complexity of osteoarticular pathologies requiring computational support.
• Traces the technical trajectory toward multimodal architectures.

Automated summary

RadPigeon summaries are original and for information only. They are not clinical advice.