AI RESEARCH
ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation
arXiv CS.CL
•
ArXi:2602.04279v2 Announce Type: replace Electrocardiography (ECG) serves as an indispensable diagnostic tool in clinical practice, yet existing multimodal large language models (MLLMs) remain unreliable for ECG interpretation, often producing plausible but clinically incorrect analyses. To address this, we propose ECG-R1, the first reasoning ECG MLLM designed for reliable ECG interpretation via three innovations.