This is where the ECG-LM model makes its mark, as it combines state-of-the-art machine learning techniques with large language models to address these gaps.

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.