\section{Conclusion}
\label{sec:conclusion}
We introduced WristMIR, a region-aware retrieval framework for pediatric wrist radiographs that integrates structured report mining with joint global–local representation learning. By using both global and bone-level representations, WristMIR enables efficient, anatomy-specific retrieval of clinically analogous cases, improving diagnostic confidence, treatment planning, and education. Its two-stage retrieval design delivers fine-grained accuracy while remaining computationally practical for real-time use in clinical workflows.  More broadly, WristMIR illustrates how structured radiology reports and anatomically grounded reasoning can overcome key limitations of global CLIP-style models for medical images, offering a scalable foundation for next-generation clinical decision support tools. Clinical deployment considerations and methodological limitations are discussed in Appendix~\ref{app:limitations}.