{"slug": "astar-automated-induction-of-standardized-radiology-reporting-templates-from", "title": "ASTAR: Automated induction of STAndardized radiology Reporting templates from large-scale clinical free-text corpora", "summary": "Researchers introduced ASTAR, an LLM-based framework that automatically generates standardized radiology reporting templates from large-scale clinical free-text corpora, reducing template development from weeks to hours. In experiments on 4,215 fetal brain MRI reports from multiple centers, the ASTAR-induced template outperformed two expert-curated templates in coverage, information fidelity, diagnostic fidelity, and expert-rated usability. The code is available at https://github.com/birthlab/ASTAR.", "body_md": "arXiv:2608.20369v1 Announce Type: new\nAbstract: Structured reporting converts free-text radiology narratives into queryable data keys, facilitating cohort assembly, longitudinal tracking, and training label generation for medical AI. The prevailing paradigm follows a two-stage pipeline: (1) constructing a reporting template, (2) extracting information to populate it. While the extraction stage has benefited from advances in large language models (LLMs), template construction remains a manual bottleneck relying on labor-intensive expert consensus that is static, difficult to scale, and may fail to capture real-world reporting diversity. We address this limitation with \\textbf{\\texttt{ASTAR}}, an LLM-based framework for Automated induction of STAndardized radiology Reporting templates from large-scale clinical free-text corpora. Extensive experiments on 4,215 fetal brain MRI reports from multiple centers demonstrate that the \\textbf{\\texttt{ASTAR}}-induced template surpasses two expert-curated templates across template coverage, information fidelity, diagnostic fidelity, and expert-rated usability, reducing template development from weeks of committee deliberation to hours of automated processing. Code: https://github.com/birthlab/ASTAR", "url": "https://wpnews.pro/news/astar-automated-induction-of-standardized-radiology-reporting-templates-from", "canonical_source": "https://arxiv.org/abs/2608.20369", "published_at": "2026-08-24 04:00:00+00:00", "updated_at": "2026-08-24 04:14:47.539887+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "natural-language-processing"], "entities": ["ASTAR", "arXiv", "birthlab"], "alternates": {"html": "https://wpnews.pro/news/astar-automated-induction-of-standardized-radiology-reporting-templates-from", "markdown": "https://wpnews.pro/news/astar-automated-induction-of-standardized-radiology-reporting-templates-from.md", "text": "https://wpnews.pro/news/astar-automated-induction-of-standardized-radiology-reporting-templates-from.txt", "jsonld": "https://wpnews.pro/news/astar-automated-induction-of-standardized-radiology-reporting-templates-from.jsonld"}}