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Updated: May 16, 2025

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对运动压力心电图的深度学习分析,用于识别显著的冠状动脉疾病

Hsin-Yueh Liang1,2, Kai-Cheng Hsu3,4,5, Shang-Yu Chien3

  • 1Division of Cardiology, Department of Medicine, China Medical University Hospital, Taichung, Taiwan.

Frontiers in artificial intelligence
|April 1, 2025
PubMed
概括

一个人工智能 (AI) 模型增强了运动应激心电图 (ExECG) 以改善冠状动脉疾病 (CAD) 的检测. 这种人工智能工具准确地识别了重要的CAD,有助于对患者进行临床查.

关键词:
人工智能的人工智能是人工智能.临床查 临床查卷积循环神经网络是一个卷积循环神经网络.冠状动脉疾病是一种冠状动脉疾病.深度学习是一种深度学习.运动压力心电图,心电图.变量的特征 变量的特征 变量的特征采用多式模式的方法.

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