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Updated: Jan 8, 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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影响在医疗保健中采用大型语言模型的因素:多中心横截面混合方法 观察性研究

Xiongwen Yang1,2, Yi Xiao3, Di Liu1,2

  • 1Department of Thoracic Surgery, Guizhou Provincial People's Hospital, No. 83, Zhongshan East Road, Guiyang, Guizhou, 550000, China, 86 18620726507.

Journal of medical Internet research
|December 11, 2025
PubMed
概括

信任和感知到的有用性是采用大型语言模型 (LLM) 在医疗保健中的关键,而不是性能. 这项研究强调了需要管理信任和准备,以便在医疗环境中公平地整合人工智能.

关键词:
人工智能的人工智能是人工智能.数字健康数字健康医疗保健专业人员 医疗保健专业人员大型语言模型.混合方法研究研究的研究方法.患者患者患者患者患者患者患者技术采用 技术采用

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