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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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Performance of State-of-the-Art Multimodal Large Language Models on an Image-Rich Radiology Board Examination:

Takeshi Nakaura1, Naoki Kobayashi1, Takanori Masuda2

  • 1Department of Central Radiology, Kumamoto University Hospital, 1-1-1 Honjo, Kumamoto 860-8556, Japan (T.N., N.K., Y.N., H.U., M.K., S.O., T.H.).

Academic Radiology
|November 29, 2025
PubMed
Abstract

Keywords:
Cost-effectivenessLarge language models (LLMs)Medical image analysisMultimodal AIRadiology Board Examination

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