Latest AI and machine learning research in arrhythmias for healthcare professionals.
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...
BACKGROUND AND AIMS: Deep learning applied to electrocardiograms (ECG-AI) is an emerging approach fo...
Recent advances in deep learning and natural language generation have significantly improved image...
Background: Liver diseases present a significant global health challenge and often require costly,...
Sudden Cardiac Arrest (SCA) is the leading cause of death among athletes of all age levels worldwi...
Diffusion models dominate the space of text-to-image generation, yet they may produce undesirable ...
BACKGROUND: The PRAISE (PRedicting with Artificial Intelligence riSk aftEr acute coronary syndrome) ...
Artificial intelligence (AI)-enabled interpretation of electrocardiogram (ECG) images (AI-ECGs) can ...