基于深度学习的多级级级联模型用于检测急性大动脉综合征:一个多站点验证研究

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Author Spotlight: Development of a Minimally Invasive Large-Animal Model for Reliable and Reproducible Cardiovascular Research
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Published on: October 20, 2023

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Joseph Chang1,2, Kuan-Jung Lee2, Ti-Hao Wang2,3,4

  • 1Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, No. 1, Sec. 1, Jen-Ai Road, Taipei 100, Taiwan.

Journal of clinical medicine
|July 12, 2025
PubMed
概括

一个新的深度学习模型使用CT扫描准确检测急性大动脉综合征 (AAS),包括大动脉剖析 (AD) 和室内血液瘤 (IMH). 这种人工智能工具显示了在临床环境中更快的患者分拣和管理的前景.

关键词:
基于人工智能的放射学解决方案人工智能的人工智能是人工智能.深度学习是一种深度学习.紧急放射学 紧急放射学机器学习 诊断性能 机器学习 诊断性能

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