Latest AI and machine learning research in myocardial infarction for healthcare professionals.
BACKGROUND: The electrocardiogram (ECG) is one of the most common diagnostic tools available to asse...
Impella devices are used for mechanical circulatory support in patients with cardiogenic shock or t...
Large high-quality datasets are essential for building powerful artificial intelligence (AI) algorit...
Short QT syndrome (SQTS) is an inherited cardiac ion-channel disease related to an increased risk of...
BACKGROUND: Identifying factors that correlate with the incidence of venous thromboembolism (VTE) ha...
Although numerous R-peak detectors have been proposed in the literature, their robustness and perfor...
BACKGROUND: Artificial intelligence (AI) has potential uses in healthcare including the detection of...
BACKGROUND: Cardiac arrhythmia is a cardiovascular disorder characterized by disturbances in the hea...
PROPOSE: An electrocardiogram (ECG) has been extensively used to detect rhythm disturbances. We soug...
In recent years, the rapid progress of Internet of Things (IoT) solutions has offered an immense opp...
Peritoneal metastasis (PM) is a frequent manifestation of advanced abdominal malignancies. Accuratel...
Percutaneous coronary intervention (PCI) is a minimally invasive technique for treating vascular dis...
The markers that help to predict th function of a cardiovascular system are hemodynamic parameters l...
Despite challenges in severity scoring systems, artificial intelligence-enhanced electrocardiography...
PURPOSE/OBJECTIVE: Reliable detection of thoracic aortic dilatation (TAD) is mandatory in clinical r...
Electrocardiography (ECG) is a standard diagnostic tool for evaluating the overall heart's electrica...
The 12‑lead electrocardiogram (ECG) is a common and inexpensive diagnostic modality available at sca...
A respiratory distress estimation technique for telephony previously proposed by the authors is adap...
Mental health, especially stress, plays a crucial role in the quality of life. During different phas...
BACKGROUND: Atrial fibrillation and heart failure commonly coexist due to shared pathophysiological ...
BACKGROUND AND AIMS: To evaluate the risk of coronary artery disease (CAD), the traditional approach...