ECG-LLM: Foundation Model for ECG-Based Cardiac Reasoning
The paper introduces ECG-LLM, a large language model trained on over 679,000 ECG studies that leverages multimodal supervision to enable question-driven cardiovascular reasoning, allowing front-line clinicians to derive complex cardiac phenotypes and diagnostic insights directly from 12-lead ECGs without immediate access to advanced imaging.