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Updated: Jun 14, 2025

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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增强的程序信息可读性,用于以患者为中心的护理,使用大型语言模型 (PRO-READ IR) 进行干预放射学

Tarig Elhakim1, Allison R Brea2, Wilton Fidelis3

  • 1Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Massachusetts General Hospital, Boston, Massachusetts.

Journal of the American College of Radiology : JACR
|August 31, 2024
PubMed
概括

生成式预训练型变压器4 (GPT-4) 可以为干预性放射学 (IR) 程序创建患者友好的教育材料. 这些人工智能生成的指令提高了健康素养和患者对复杂医疗信息的理解.

关键词:
人工智能的人工智能是人工智能.提高健康素养 提高健康素养大型语言模型.以患者为中心的护理.程序指令是指程序指令.

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