Latest AI and machine learning research in arrhythmias for healthcare professionals.
Driven by the rising prevalence of mental health issues, this study proposes an automated stress mon...
BACKGROUND: Long-term garment-type wearable Holter electrocardiographic (ECG) monitoring is frequent...
BACKGROUND: Electrocardiograms (ECGs) are commonly stored in PDF, particularly as vector-based files...
Interpretation of Electrocardiogramms (ECG) is increasingly complemented by algorithms. These a...
BACKGROUND: Accurate intraoperative identification of anatomical structures is critical for ensuring...
BACKGROUND: Artificial intelligence-enabled electrocardiography (AI-ECG) has emerged as a potential ...
PURPOSE: The current study uses machine learning algorithms to predict the onset of cardiac arrhythm...
Natural fracture networks govern subsurface fluid flow, rock-mass stability, and strain accommodatio...
We aimed to develop and assess the performance of a Machine learning (ML) model integrating common c...
Electrocardiogram (ECG) based arrhythmia detection remains challenging due to severe class imbalance...
OBJECTIVE: Atrial fibrillation (AF) is the most common cardiac arrhythmia experienced by intensive c...
Cardiovascular disease (CVD) remains a leading global health threat, creating a strong clinical need...
Children with autism spectrum disorder (ASD) face difficulties in expressing and recognizing emotion...
OBJECTIVES: This study aimed to develop and validate a clinically motivated artificial intelligence ...
BACKGROUND: Pre-participation screening (PPS) in competitive athletes aims to identify cardiovascula...
Traditional detection methods often rely on fixed thresholding or machine-learning models, which can...
BACKGROUND: Differentiating heart failure (HF) with mildly reduced/reduced ejection fraction (HFmr/r...
Myocardial infarction (MI) is a major contributor to cardiovascular diseases (CVDs), creating an urg...
OBJECTIVE: Large language models (LLMs) have been explored for clinical applications, yet their reli...
Continuous monitoring of Arterial Blood Pressure (ABP) in critically ill patients requires invasive ...
Wearable and mobile electrocardiography (ECG) has rapidly expanded access to rhythm monitoring outsi...