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Updated: Jan 28, 2026

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从CT输血数据中基于深度学习的最终心脏病核心预测:与临床标准的比较

Freda Werdiger1,2, Milanka Visser1,2, Chushuang Chen2

  • 1Department of Medicine Dentistry and Health Sciences The University of Melbourne Melbourne Australia.

Stroke (Hoboken, N.J.)
|January 26, 2026
PubMed
概括

计算机断层扫描输液 (CTP) 的新深度学习模型为中风患者的缺血核心提供了更准确的估计. 这种概率CTP模型超越了传统的单值方法,用于预测再注射治疗后的组织命运.

关键词:
急性缺血性中风是急性缺血性中风.人工智能的人工智能是人工智能.计算机断层扫描输液成像 计算机断层扫描输液成像深度学习 预测 预测

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