5 papers
Learning ECG Image Representations via Dual Physiological-Aware Alignments
Hung Manh Pham, Jialu Tang, Aaqib Saeed +3
Electrocardiograms (ECGs) are among the most widely used diagnostic tools for cardiovascular diseases, and a large amount of ECG data worldwide appears only in image form. However,…
UniPACT: A Multimodal Framework for Prognostic Question Answering on Raw ECG and Structured EHR
Jialu Tang, Tong Xia, Yuan Lu +1
Accurate clinical prognosis requires synthesizing structured Electronic Health Records (EHRs) with real-time physiological signals like the Electrocardiogram (ECG). Large Language…
Interpretable Multimodal Zero-Shot ECG Diagnosis via Structured Clinical Knowledge Alignment
Jialu Tang, Hung Manh Pham, Ignace De Lathauwer +4
Electrocardiogram (ECG) interpretation is essential for cardiovascular disease diagnosis, but current automated systems often struggle with transparency and generalization to unsee…
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning
Jialu Tang, Tong Xia, Yuan Lu +2
Electrocardiogram (ECG) interpretation requires specialized expertise, often involving synthesizing insights from ECG signals with complex clinical queries posed in natural languag…
Q-Heart: ECG Question Answering via Knowledge-Informed Multimodal LLMs
Hung Manh Pham, Jialu Tang, Aaqib Saeed +1
Electrocardiography (ECG) offers critical cardiovascular insights, such as identifying arrhythmias and myocardial ischemia, but enabling automated systems to answer complex clinica…