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Updated: Jun 9, 2026

Combined Near-infrared Fluorescent Imaging and Micro-computed Tomography for Directly Visualizing Cerebral Thromboemboli
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使用深度学习预测急性缺血性中风的组织和临床血栓切除术结果

Marie-Sophie von Braun1, Kristin Starke2, Lucas Peter1

  • 1Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig, Leipzig University, 04105 Leipzig, Germany.

Brain : a journal of neurology
|January 19, 2025
PubMed
概括

一个新的深度学习模型预测,在急性缺血性中风中,内血管血栓切除术对个体患者有好处. 这种人工智能工具模拟了结果,有助于个性化治疗和在中风护理中的资源配置.

关键词:
人工智能的人工智能是人工智能.生物标志物生物标志物卷积神经网络是一种卷积神经网络.决策支持提供了决策支持.多模式CT多模式CT精准医学是一门精准医学.

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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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Venous Thrombosis III: Interprofessional Care

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