Latest AI and machine learning research in arrhythmias for healthcare professionals.
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 ...
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...
OBJECTIVE: Maximizing safe resection in neuro-oncology has become paramount to improving patient sur...
Atrial fibrillation (AF) is characterized by irregular electrical impulses originating in the atri...
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...
This study presented a novel approach for the precise ablation of breast tumors using focused ultras...
Atrial fibrillation is a commonly encountered clinical arrhythmia associated with stroke and incre...
We introduce the ECG-Image-Database, a large and diverse collection of electrocardiogram (ECG) ima...
Finite element method applications are a common approach to simulate a handful of phenomena but ca...
The Complex Emotion Recognition System (CERS) deciphers complex emotional states by examining comb...
Purpose To develop and evaluate a publicly available deep learning model for segmenting and classify...
The electrocardiogram (ECG) is a fundamental and widely used tool for diagnosing cardiovascular dise...