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Updated: Sep 11, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基于机器学习的时间速度-信息学 (TVI) 变量的预测,以加速描述内动脉瘤破裂状态

Mostafa Rezaeitaleshmahalleh1,2, Zonghan Lyu1,2, Nan Mu1,2,3

  • 1Department of Biomedical Engineering, Michigan Technological University, 1400 Townsend Drive, Houghton, 49931, MI, USA.

Journal of cardiovascular translational research
|August 15, 2025
PubMed
概括

机器学习从内动脉瘤 (IA) 几何学预测时间速度信息学 (TVI) 参数,改善断裂状态预测. 这种方法为复杂的计算流体动力学模拟提供了可行的替代方案.

关键词:
动脉瘤的血液动力学计算流体动力学 计算流体动力学机器学习是机器学习.破裂风险预测 破裂风险预测

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Thoracic, aortic arch and abdominal aneurysms are significant vascular conditions that can present with various clinical manifestations and lead to serious complications. Understanding these manifestations and the appropriate diagnostic studies is essential for effective management and treatment.Thoracic Aortic AneurysmsThoracic aortic aneurysms often remain asymptomatic until they reach a size that impinges on adjacent structures. They typically cause deep, diffuse chest pain that radiates to...
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