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.
· Expert systems with applicat... · 0 citations