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Updated: Jan 7, 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

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瘤学药房中与药物相关的不良事件的大型语言模型:检测,分级和采取行动

Md Muntasir Zitu1, Ashish Manne2, Yuxi Zhu3

  • 1Department of Machine Learning, Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.

Pharmacy (Basel, Switzerland)
|December 24, 2025
PubMed
概括

大型语言模型 (LLM) 可以帮助从临床笔记中检测瘤学中的不良事件 (AE),帮助药剂师在药物安全方面. 人工智能显示出AE监测和审查的前景,改善了患者的护理.

关键词:
不良事件不良事件不良事件人工智能的人工智能是人工智能.临床文本 临床文本大型语言模型自然语言处理自然语言处理.瘤学 在瘤学方面.药房 药房 药房 药房

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