Medicine and HealthNature
An ECG biomarker for sudden cardiac death discovered with deep learning
Z. Obermeyer, A. Schubert, et al.
Using deep learning on a region-wide ECG–death-certificate dataset, the authors isolate a small high-risk group with a 7.0% annual sudden cardiac death rate—most of whom were missed by LVEF—and show implanted defibrillators cut mortality. The model is externally validated and pairs with a generative ECG model to reveal a previously undescribed visible biomarker. Research conducted by Ziad Obermeyer, Alexander Schubert, James Ross, Sendhil Mullainathan, and Markus Lingman.
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