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Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification.

Lei LuTingting ZhuAntonio H RibeiroLei CliftonErying ZhaoJiandong ZhouAntonio Luiz P RibeiroYuan-Ting ZhangDavid A Clifton
Published in: European heart journal. Digital health (2024)
Using ECGs alone, our developed model showed cardiologist-level accuracy in interpretable cardiac diagnosis and the advancement in mortality risk stratification. In addition, it demonstrated the potential to facilitate clinical knowledge discovery for gender and hypertension detection which are not readily available.
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