Latest AI and machine learning research in arrhythmias for healthcare professionals.
BACKGROUND: High-quality echocardiography is essential for accurate and reproducible assessment of c...
OBJECTIVE: Differentiating functional/dissociative seizures (FDS) from epileptic seizures (ES) remai...
Chemotherapy-induced cardiotoxicity (CIC) remains a major cause of morbidity and mortality among can...
Cuffless blood pressure (BP) monitoring technologies, primarily based on pulse transit time (PTT) or...
BACKGROUND: Risk stratification in non-ischemic cardiomyopathies (NICM) remains challenging despite ...
OBJECTIVE: The interpretation of electrocardiogram (ECG) signals is vital for diagnosis of cardiac c...
In recent decades, clinical practice has been founded on the principles of evidence-based medicine, ...
Background Some artificial intelligence models use heart rate variability (HRV) features to classify...
Microwave ablation is a crucial option for liver tumors, with success hinging on generating a suitab...
BACKGROUND: Atrial fibrillation (AF), the most prevalent cardiac arrhythmia, affects 2% to 4% of the...
In modern dairy production, cattle are routinely exposed to a wide range of management-related, envi...
PURPOSE: High-Intensity Focused Ultrasound (HIFU) is an emerging focal therapy for localized prostat...
BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome refers to the co-occurrence of obesity, d...
Sleep stage classification is critical for diagnosing and managing disorders like sleep apnea and in...
The proposed multi-modal deep learning system for lung cancer diagnosis and characterisation uses st...
BACKGROUND: Prompt diagnosis of bloodstream infections (BSIs) is critical for antimicrobial stewards...
BACKGROUND: Ovarian cancer patients requiring intensive care unit (ICU) admission face particularly ...
Cardiac arrhythmias are abnormal heart rhythms arising from disordered electrical dynamics that cont...
Accurate acquisition of bioelectrical signals like electromyography (EMG) and electrocardiography (E...
The field of oncology has witnessed remarkable progress with the integration of high-tech innovation...
Mental workload classification is critical in safety-sensitive fields such as healthcare and aviatio...