通过大型语言模型加速临床证据合成

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Updated: Sep 12, 2025

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

Published on: December 6, 2024

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Zifeng Wang1,2, Lang Cao1, Benjamin Danek1,2

  • 1Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign, Urbana, IL, USA.

NPJ digital medicine
|August 7, 2025
PubMed
概括

TrialMind是一个人工智能 (AI) 管道,通过改善系统审查 (SR) 中的研究搜索,选和数据提取来加速临床证据合成. 人类-人工智能与TrialMind的合作显著提高了效率和准确性.

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