anyECG-chat: A Generalist ECG-MLLM for Flexible ECG Input and Multi-Task Understanding

arXiv — cs.CL•Thursday, November 13, 2025 at 5:00:00 AM

The development of the anyECG-chat model marks a significant advancement in the application of multimodal large language models (MLLMs) to electrocardiogram (ECG) analysis. Unlike existing ECG-focused MLLMs that primarily handle report generation from short-duration, single-lead ECGs, the anyECG-chat model accommodates a broader range of tasks and flexible input types, including standard hospital ECGs and long-duration reduced-lead ECGs for home use. This flexibility is crucial for enhancing clinical practices, as it enables comprehensive evaluations that include abnormal waveform localization and open-ended question answering. The creation of the anyECG dataset, which supports these diverse tasks, further underscores the model's potential. A comprehensive evaluation of the anyECG-chat model has been conducted, demonstrating its capabilities in various practical application scenarios. This development not only addresses the limitations of previous models but also opens new avenues for …

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