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用人工智能应用于12导电心脏图像的心力衰竭可扩展风险分层:一项跨国研究

Lovedeep S Dhingra1, Arya Aminorroaya1, Veer Sangha1,2

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

medRxiv : the preprint server for health sciences
|April 18, 2024
PubMed
概括

应用于心电图 (ECG) 图像的人工智能预测心力衰竭 (HF) 风险. 这种AI-ECG方法提供了一种可扩展的方法来识别患HF风险较高的个体.

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 预测建模

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