Latest AI and machine learning research in arrhythmias for healthcare professionals.
Cardiovascular disease (CVD) remains the leading cause of mortality globally, with many events occur...
Magnetocardiography (MCG) captures the magnetic fields generated by myocardial currents, theoretical...
Atrial fibrillation (AF) is a heart condition widely recognized as a significant risk factor for str...
PURPOSE: Intra-operative factors are crucial to early recurrence of hepatocellular carcinoma (HCC) a...
Cardiovascular diseases (CVDs) have surpassed cancer and become the major cause of death worldwide. ...
The adoption of deep learning in ECG diagnosis is often hindered by the scarcity of large, well-labe...
Recent endeavors have led to the exploration of Machine Learning (ML) to enhance the detection and a...
OBJECTIVE: Evaluate popular explanation methods using heatmap visualizations to explain the predicti...
In the intelligent harvesting of eggplant, the lack of in situ identification technology makes it ch...
INTRODUCTION: Medical device recalls are important to the practice of emergency medicine, as unsafe ...
Photoplethsmography (PPG)-based individual identification aiming at recognizing humans via intrins...
This study proposes a novel lightweight neural network model leveraging features extracted from el...
Today, manga has gained worldwide popularity. However, the question of how various elements of man...
During long-term electrocardiogram (ECG) monitoring, various types of noise inevitably become mixed ...
Study Objectives: We investigate Mamba-based deep learning approaches for sleep staging on signals...
In this paper, we present a high-performance, compact electrocardiogram (ECG)-based system for aut...
Use real word data to evaluate the performance of the electrocardiographic markers of GEH as featu...
Background: Neoplasms remains a leading cause of mortality worldwide, with timely diagnosis being ...
Electrocardiograms (ECGs) are essential for diagnosing cardiac pathologies, yet traditional paper-...
Electrocardiogram (ECG) analysis plays a crucial role in diagnosing cardiovascular diseases, but a...
The rapid advancements in Artificial Intelligence, specifically Machine Learning (ML) and Deep Lea...