most citedLeveraging Fine-Tuned Large Language Models for Interpretable Pancreatic Cystic Lesion Feature Extraction and Risk Categorization

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.AI2025★ 3 cited

Leveraging Fine-Tuned Large Language Models for Interpretable Pancreatic Cystic Lesion Feature Extraction and Risk Categorization

Ebrahim Rasromani, Stella K. Kang, Yanqi Xu +14

Background: Manual extraction of pancreatic cystic lesion (PCL) features from radiology reports is labor-intensive, limiting large-scale studies needed to advance PCL research. Pur…