AI RESEARCH
Uncertainty-Aware Structured Data Extraction from Full CMR Reports via Distilled LLMs
arXiv CS.CL
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ArXi:2605.08045v1 Announce Type: new Converting free-text cardiac magnetic resonance (CMR) reports into auditable structured data remains a bottleneck for cohort assembly, longitudinal curation, and clinical decision. We present CMR-EXTR, a lightweight framework that converts free-text CMR reports into structured data and assigns per-field confidence for quality control. A teacher-student distillation pipeline enables fully offline inference while limiting manual annotation.