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Updated: Jan 9, 2026

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

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通过大型语言模型实现即时临床瘤学分析:使用非结构化合成数据的可行性和验证研究

Peter May1, Julian Greß1,2, Christoph Seidel3

  • 1Department of Internal Medicine III, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Ismaninger Str. 22, Munich, Germany, 49 89-4140-8753.

JMIR medical informatics
|December 2, 2025
PubMed
概括

大型语言模型 (LLM) 在提取瘤学数据和直接从临床笔记中执行生存分析方面表现出高准确性,从而使得即时研究 (JIT) 成为可能. 这项研究表明,LLM可以绕过传统方法进行更快,更有效的瘤研究.

关键词:
人工智能的人工智能是人工智能.癌症登记册 癌症登记册 癌症登记册临床瘤学临床瘤学只是在时间分析分析.大型语言模型.自然语言处理自然语言处理.现实世界的证据.生存分析,生存分析.非结构化数据是非结构化数据.

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