Abstract
Structured radiology reporting mitigates the heterogeneity of free-text reports, yet its benefits depend on high-quality reporting templates. In practice, such templates are conventionally built through labor-intensive expert consensus and therefore vary across institutions and lag behind evolving clinical practice. Large language models (LLMs) enable automated template induction, but existing approaches remain limited: single-LLM induction is constrained by context length, and the corpus-scale method ASTAR produces a static, closed-corpus template without external grounding or downstream adaptation. To address these limitations, we propose TEMPLAR, a TEMPLate-centric Agentic framework for inducing and evolving standardized Radiology reporting templates from large-scale clinical corpora. TEMPLAR treats the template as a persistent central state maintained alongside two provenance-aware knowledge graphs, namely an anatomical graph that constrains template construction and a diagnostic graph that supports finding-to-diagnosis reasoning. Three agents operate on this state. The Induction Agent derives canonical clinical slots from anatomy-constrained Span-Triple atoms via dual-view similarity clustering; the Evolution Agent then assembles these slots into a hierarchical template and revises it under consistency constraints, external clinical evidence, and downstream structuring feedback; and the Clinical Agent applies the evolved template to report structuring, reconstruction, and diagnostic reasoning. Across four datasets, TEMPLAR outperforms ASTAR, three medical LLMs, and six general-purpose LLMs in coverage, information fidelity, and diagnostic fidelity, while achieving the highest or tied-highest LLM-rated template quality. Its fidelity advantages over ASTAR persist under cross-dataset transfer, and cumulative ablations support complementary contributions of its key components.
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Cite this article
APA 7
Hu, X., Liu, M., Wang, Z., Zhang, X., Huang, Y., Wang, Z., Anmahaepong, K., Li, Y., Chen, Y., Yang, H., Li, Z., & Tian, Q. (2026). templar: agentic induction and evolution of standardized radiology reporting templates from large-scale clinical corpora. https://omanscience.com/en/articles/templar-agentic-induction-and-evolution-of-standardized-radiology-reporting-templates-from-large-scale-clinical-corpora
MLA 9
Hu, Xiaotian, et al. "templar: agentic induction and evolution of standardized radiology reporting templates from large-scale clinical corpora." https://omanscience.com/en/articles/templar-agentic-induction-and-evolution-of-standardized-radiology-reporting-templates-from-large-scale-clinical-corpora.
Chicago (author–date)
Hu, Xiaotian, Mingxuan Liu, Zhonghan Wang, Xinfeng Zhang, Yiming Huang, Ziang Wang, Kasidit Anmahaepong, Yijin Li, Yifei Chen, Hongjia Yang, Zihan Li, and Qiyuan Tian. 2026. "templar: agentic induction and evolution of standardized radiology reporting templates from large-scale clinical corpora." https://omanscience.com/en/articles/templar-agentic-induction-and-evolution-of-standardized-radiology-reporting-templates-from-large-scale-clinical-corpora.
Harvard
Hu, X., Liu, M., Wang, Z., Zhang, X., Huang, Y., Wang, Z., Anmahaepong, K., Li, Y., Chen, Y., Yang, H., Li, Z. and Tian, Q. (2026) 'templar: agentic induction and evolution of standardized radiology reporting templates from large-scale clinical corpora', Available at: https://omanscience.com/en/articles/templar-agentic-induction-and-evolution-of-standardized-radiology-reporting-templates-from-large-scale-clinical-corpora.
Vancouver
Hu X, Liu M, Wang Z, Zhang X, Huang Y, Wang Z, et al. templar: agentic induction and evolution of standardized radiology reporting templates from large-scale clinical corpora. https://omanscience.com/en/articles/templar-agentic-induction-and-evolution-of-standardized-radiology-reporting-templates-from-large-scale-clinical-corpora
IEEE
X. Hu, M. Liu, Z. Wang, X. Zhang, Y. Huang, Z. Wang, K. Anmahaepong, Y. Li, Y. Chen, H. Yang, Z. Li, and Q. Tian, "templar: agentic induction and evolution of standardized radiology reporting templates from large-scale clinical corpora," https://omanscience.com/en/articles/templar-agentic-induction-and-evolution-of-standardized-radiology-reporting-templates-from-large-scale-clinical-corpora.