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Updated: Jun 9, 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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大型语言模型可以支持生成标准化的出院摘要 - - 一项使用ChatGPT-4和电子健康记录的回顾性研究

Arne Schwieger1, Katrin Angst2, Mateo de Bardeci3

  • 1Centre for Depression, Anxiety Disorders and Psychotherapy, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland; Faculty of Medicine, University of Zurich (UZH), Zurich, Switzerland.

International journal of medical informatics
|October 22, 2024
PubMed
概括

通过ChatGPT-4生成的精神病医院出院摘要 (DS) 与住院人员撰写的精神病医院出院摘要的质量不匹配. 虽然AI-DS显示出作为医生模板的潜力,但人类写的DS总体上被评为更高.

关键词:
人工智能的人工智能是人工智能.关于下放的总结 关于下放的总结电子健康记录电子健康记录机器学习是机器学习.精神病医院 精神病医院

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