ECG-Chat is a specialized multimodal large language model designed to analyze electrocardiogram data and generate accurate medical reports for cardiac disease diagnosis.

• Addresses the integration gap between complex ECG signals and text interpretation
• Implements a multitask approach to handle ECG analysis and medical report generation
• Significantly improves cardiac diagnostic capabilities compared to general multimodal LLMs
• Enables patient-AI conversations using physiological signal data

This research represents a critical advancement for medical professionals by providing more accurate, accessible cardiac diagnostics that could improve patient outcomes, reduce diagnostic errors, and streamline cardiology workflows.

Original Paper: ECG-Chat: A Large ECG-Language Model for Cardiac Disease Diagnosis