They developed a multilayer convolutional neural network that was trained using 60% of the cohort, validated in 10%, and tested on the remaining 30%. The neural network outperformed ECG-derived QTc ...

Machine-learning models that incorporate common clinical features along with ECG findings may help identify patients who are likely to have coronary artery calcium (CAC), with potential implications ...

This data was used to develop a machine learning (ML)-based real-time predictive model for sudden cardiac arrest predictions in critical care settings.