Electrocardiogram Instruction Tuning for Report Generation

arXiv:2403.04945v1 Announce Type: cross
Abstract: Electrocardiogram (ECG) serves as the primary non-invasive diagnostic tool for cardiac conditions monitoring, are crucial in assisting clinicians. Recent studies have concentrated on classifying cardiac conditions using ECG data but have overlooked ECG report generation, which is not only time-consuming but also requires clinical expertise. To automate ECG report generation and ensure its versatility, we propose the Multimodal ECG Instruction Tuning (MEIT) framework, the \textit{first} attempt to tackle ECG report generation with LLMs and multimodal …

abstract arxiv automate clinical clinicians cs.cl cs.lg data diagnostic eess.sp expertise monitoring report studies tool type