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

American Journal of Roentgenology 2026 Open access

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Authors: Ebrahim Rasromani, Stella K. Kang, Yanqi Xu, Beisong Liu, Garvit Luhadia, Wan Fung Chui, Felicia L. Pasadyn, Yu Chih Hung, Julie Y. An, Edwin Mathieu, Zehui Gu, Carlos Fernandez‐Granda
+5 more Ammar A. Javed, Greg D. Sacks, Tamas Gonda, Chenchan Huang, Yiqiu Shen
DOI: 10.2214/ajr.25.34076
Cited by: 3
References: 5

Abstract

. LLMs have the potential to enable creation of large structured registries from existing radiology reports to support population-level research on PCLs.

Fields of Study & Subjects

Pancreatic and Hepatic Oncology Research Machine Learning in Healthcare AI in cancer detection

Publication details

Journal / source
American Journal of Roentgenology
Publisher
American Roentgen Ray Society
Volume
227
Issue
2
Pages
e2534076–e2534076
Publication date
6 May 2026
Language
EN