Latest AI and machine learning research in myocardial infarction for healthcare professionals.
In this paper, we present a high-performance, compact electrocardiogram (ECG)-based system for aut...
The traditional interpretation of Intravascular Ultrasound (IVUS) images during Percutaneous Coron...
Use real word data to evaluate the performance of the electrocardiographic markers of GEH as featu...
Point cloud completion aims to recover partial geometric and topological shapes caused by equipmen...
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...
Stroke is a major global health problem that causes mortality and morbidity. Predicting the outcom...
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...
Artificial intelligence (AI)-enabled interpretation of electrocardiogram (ECG) images (AI-ECGs) can ...
The real time analysis and secure transmission of electrocardiogram (ECG) signals are critical for...
This study introduces the development of a state of the art, real time ECG monitoring and analysis...
BACKGROUND: Artificial intelligence (AI)-enabled electrocardiography (ECG) can be used to predict ri...
Cardiovascular diseases are best diagnosed using multiple modalities that assess both the heart's ...
Objectives: To investigate clinicians' attitudes towards current automated interpretation of ECG a...
Atrial fibrillation is a commonly encountered clinical arrhythmia associated with stroke and incre...
Medical time series (MedTS) play a critical role in many healthcare applications, such as vital si...