Latest AI and machine learning research in myocardial infarction for healthcare professionals.
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...
Coronary artery disease remains one of the leading causes of mortality globally. Despite advances ...
BACKGROUND AND AIMS: Current heart failure (HF) risk stratification strategies require comprehensive...
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...
While recent multimodal large language models (MLLMs) have advanced automated ECG interpretation, ...
Pulmonary hypertension (PH) is frequently underdiagnosed in low- and middle-income countries (LMIC...
Cardiovascular diseases (CVDs) are disorders impacting the heart and circulatory system. These dis...
Driver emotion recognition plays a crucial role in driver monitoring systems, enhancing human-auto...
BACKGROUND AND AIMS: Robust and convenient risk stratification of patients with paediatric and adult...
BACKGROUND AND AIMS: Artificial intelligence (AI) algorithms in 12-lead electrocardiogram (ECG) prov...
This study introduces OpenECG, a large-scale benchmark of 1.2 million 12-lead ECG recordings from ...
IMPORTANCE: Lung ultrasound (LUS) aids in the diagnosis of patients with dyspnea, including those wi...
Wearable sensing devices, such as Holter monitors, will play a crucial role in the future of digit...
Egocentric vision systems aim to understand the spatial surroundings and the wearer's behavior ins...
Cardiovascular diseases are a leading cause of death and disability worldwide. Electrocardiogram (...