Latest AI and machine learning research in arrhythmias for healthcare professionals.
Cardiovascular diseases remain the leading cause of global mortality, emphasizing the critical nee...
The electrocardiogram (ECG) is a fundamental tool in cardiovascular diagnostics due to its powerfu...
Deep learning-based electrocardiogram (ECG) classification has shown impressive performance but cl...
Epileptic seizures are sudden neurological disorders characterized by abnormal, excessive neuronal...
Camouflaged object segmentation presents unique challenges compared to traditional segmentation ta...
Unmanned aerial vehicles (UAVs), initially developed for military applications, are now used in va...
Type 2 Diabetes Mellitus (T2DM) remains a global health challenge, underscoring the need for early...
The electrocardiogram (ECG) monitoring device is an expensive albeit essential device for the trea...
Cardiovascular diseases (CVD) are a predominant health concern globally, emphasizing the need for ...
Large language models (LLMs) are increasingly used in healthcare, but their reliability is heavily...
Objective: In this review, we aim to provide an analysis of current cardiac ablation techniques, s...
A Notch Filter is essential in ECG signal processing to eliminate narrowband noise, especially pow...
AI computation in healthcare faces significant challenges when clinical datasets are limited and h...
Cardiopulmonary exercise testing (CPET) provides a comprehensive assessment of functional capacity...
The detection of cardiac abnormalities using electrocardiogram (ECG) signals is crucial for early ...
Deep neural network (DNN) models have shown remarkable success in many real-world scenarios, such ...
Electrocardiogram (ECG) signals are widely shared across multiple clinical applications for diagno...
Electrocardiography (ECG) is an essential tool for diagnosing multiple cardiac anomalies: it provi...
The classification of electrocardiogram (ECG) signals is crucial for early detection of arrhythmia...
BACKGROUND: Accurate prediction of early recurrence (ER) is essential to improve the prognosis of pa...
While recent multimodal large language models (MLLMs) have advanced automated ECG interpretation, ...