,

Wei Yang1, Rajat Deo2, Wensheng Guo3

  • 1Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA. weiyang@pennmedicine.upenn.edu.

Communications medicine
|February 2, 2025
PubMed
概括

这项研究引入了一种新的方法,使用心电图 (ECG) 功能来识别心房动 (AF) 风险. 该方法提供了对AF发展前的ECG变化的洞察力,与"黑子"深度学习模型不同.