使用人工智能应用于心电图像的心力衰竭风险分层:一项跨国研究

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Updated: Jun 2, 2025

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

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Lovedeep S Dhingra1,2, Arya Aminorroaya1,2, Veer Sangha1,2,3

  • 1Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.

European heart journal
|January 13, 2025
PubMed
概括

应用于心电图 (ECG) 图像的人工智能 (AI) 可以预测心力衰竭 (HF) 风险. 这种AI-ECG模型识别了显著更高风险的个体,作为HF分层的新数字生物标志物.

关键词:
进行心血管查.深度学习是一种深度学习.电心电图 电心电图 电心电图心脏衰竭是因为心脏衰竭.预测建模的预测建模.

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