At the April 2026 Heart Rhythm Society Annual Meeting in Chicago, panelists gathered to discuss a myriad of topics in the rapidly growing cardiovascular care space. Song Zuo, MD, a specialist at the ...
Cardiovascular diseases (CVDs) are a significant and widespread cause of death in the world, continuing to increase mortality rates. Therefore, timely identification and diagnosis are essential for a ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been developed. This ...
Electrocardiogram (ECG) signals are widely used for monitoring heart health and detecting cardiovascular abnormalities. The increasing availability of lightweight, IoT-enabled ECG monitoring devices ...
Introduction: Acute coronary syndrome (ACS) is a life-threatening emergency, with occlusion myocardial infarction (OMI) requiring rapid diagnosis and treatment. The 12-lead ECG remains the primary ...
In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
Abstract: The electrocardiogram (ECG) is an important tool in diagnosing heart diseases. In this study, we introduce ECGNet a customized deep learning model that utilizes advanced activation functions ...
An electrocardiogram or EKG is a testing equipment used to measure the electrical activity of the heart. Using only an Arduino Shield and a set of electrodes, one can create his own EKG, generate a ...
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