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Evaluation of large language models for VI-RADS reports: a comparative analysis of zero-shot and few-shot prompting

Ahmet Halis1, Deniz Celiker2

  • 1Department of Urology, Yedikule Chest Diseases and Thoracic Surgery Training and Research Hospital, Kazlıçeşme Neighborhood, Belgrat Kapı Yolu Street No:1, Istanbul, Turkey. dr.ahmethls@gmail.com.

BMC Medical Imaging
|April 11, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Artificial intelligence in radiologyBladder cancerFew-shot learningLarge language models (LLMs)VI-RADS

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