MS-ECG-FM aligns ECG to multiple clinical report types and lifts macro-averaged AUROC to 93.6 across 98 detection tasks
The authors introduce MS-ECG-FM, an ECG foundation model pre-trained by contrastive alignment to several clinical note types — ECG machine reports, cardiologist ECG reports, echocardiography, chest X-ray and discharge summaries; on linear-probe evaluation over 98 labels across multiple datasets it reaches a macro-averaged AUROC of 93.6 versus 91.5 for ECGFounder and 91.2 for MELP, with clear gains on structural heart disease and maintained leadership in single-lead and reduced-lead configurations.