Learning the art of ECG interpretation requires intellect, commitment, effort and — perhaps most importantly — an organized approach. I have spent thousands of hours (yes, thousands) looking at ...

Abstract: The 12-lead Electrocardiography (ECG) is one of the most commonly used diagnostic tools for cardiovascular disease. Widely available ECG databases and deep learning algorithms present an ...

Background: Multimodal Large Language Models (LLMs) such as ChatGPT (4o mini) and Gemini (2.5 Flash) have shown proficiency in textual tasks, yet their performance in ECG image interpretation is ...

ECG-GraphRAG-Fusion 是一个垂直领域的医学智能问答系统，旨在解决传统 RAG 在处理复杂医学逻辑时的局限性 ...

Abstract: Geometric Deep Learning is a modern approach to deep learning that focuses on the assessment of the structure and inherent symmetry of the data. How to best represent Electrocardiogram (ECG) ...

1 Department of Family Medicine, University of Washington, Seattle, Washington, USA 2 Division of Ciology, University of Washington, Seattle, Washington, USA 3 Division of Ciology, Seattle Children's ...

An electrocardiogram (ECG) is a simple diagnosis technique employed to assess the heart’s electrical activity by detecting electrical signals generated during each heartbeat through electrodes fixed ...