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Updated: Sep 18, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

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

Published on: December 6, 2024

681

小児放射線学における即時報告を必要とする症例の検出における大型言語モデルの正確性:公的に利用可能な臨床ヴィニエットを用いた可行性研究

Jun Sung Park1, Jisun Hwang2, Pyeong Hwa Kim3

  • 1Department of Pediatrics, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.

Korean journal of radiology
|August 28, 2025
PubMed
まとめ

マルチモダルの大型言語モデル (LLM) は,緊急の小児放射線症例の特定において,ヒトの読者と同等の精度を示しています. しかし,重要な発見を検出する際の信頼性は,臨床使用のために改善する必要があります.

キーワード:
緊急医療大型言語モデル小児科トリアージ作業リストの優先順位付け

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