Prediction of cardiovascular outcomes using electrocardiography from overnight polysomnography.
Deep learning applied to nocturnal ECGs with sleep stage information captures cardiac abnormalities, offering a tool for cardiovascular risk stratification and integrating such prediction into PSG could enhance detection and support personalized clinical decision-making.