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Standardizing Longitudinal Radiology Report Evaluation via Large Language Model Annotation
Longitudinal information in radiology reports refers to the sequential tracking of findings across multiple examinations over time, which is crucial for monitoring disease progression and guiding clinical decisions. Many recent automated radiology report generation methods are designed to capture lo
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