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#artificial intelligence Open access Jan 2026

Standardizing Longitudinal Chest X-ray Report Evaluation via Large Language Model Annotation

An LLM-based pipeline to automatically annotate longitudinal information in radiology reports is proposed, which outperforms existing annotation solutions, achieving 11.3\% and 5.3\% higher F1-scores for longitudinal information detection and disease tracking, respectively.

Xin-Yi Wang, G. Figueredo, Ruizhe Li et al. · 0 citations

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