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Updated: Jan 17, 2026

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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利用大规模的语言和视觉模型从大规模的图像文本结肠镜记录中提取知识

Shuo Wang1,2,3,4, Yan Zhu5,6, Zhiwei Yang7,8,9

  • 1Digital Medical Research Centre, School of Basic Medical Sciences, Fudan University, Shanghai, China. shuowang@fudan.edu.cn.

Nature biomedical engineering
|September 16, 2025
PubMed
概括

这项研究介绍了EndoKED,一种人工智能方法,可以自动从结肠镜记录中提取详细的息肉信息. 这种方法显著改善了聚的检测和细分,以获得更好的胃肠病学人工智能.

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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography04:48

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This lesson explores three gastrointestinal imaging techniques: radionuclide testing, colonic transit studies, and virtual colonoscopy.
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