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Updated: Jun 25, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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整合人类专业知识和自动化方法,以动态和多参数评估大语言模型在临床决策中的可行性

Elena Sblendorio1, Vincenzo Dentamaro2, Alessio Lo Cascio3

  • 1Azienda Ospedaliero-Universitaria Consorziale Policlinico di Bari, Piazza Giulio Cesare, 11, 70124 Bari, Italy; Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Italy.

International journal of medical informatics
|May 29, 2024
PubMed
概括

一个新的框架评估了医疗保健的大型语言模型 (LLM),推了用于临床护理决策的安全AI工具. 这确保了在患者护理中负责任地采用人工智能.

关键词:
人工智能常规集成整合临床决策 临床决策医疗保健创新 医疗保健创新在LLM的可行性.方法论 方法论 方法论进行多参数分析.这是一个多学科的方法.护理信息学 在护理信息学.安全的安全的安全的安全的安全.

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