Latest AI and machine learning research in arrhythmias for healthcare professionals.
Reliable interpretation of electrocardiograms (ECGs) requires precise identification of P, QRS, and ...
Cardiovascular diseases remain the leading cause of global mortality, and early risk stratification ...
RLHF-aligned language models exhibit response homogenization: on TruthfulQA (n=790), 40-79% of quest...
Rare cardiac anomalies are difficult to detect from electrocardiograms (ECGs) due to their long-tail...
Sleep disturbances are tightly linked to cardiovascular risk, yet polysomnography (PSG)-the clinical...
Atrial fibrillation and heart failure impose substantial health burdens worldwide, yet existing pred...
Reconstructing a 12-lead electrocardiogram (ECG) from a reduced lead set is an ill-posed inverse pro...
Artificial intelligence (AI) is increasingly used in clinical settings, yet limited oversight and do...
Twelve-lead electrocardiography (ECG) is essential for cardiovascular diagnosis, but its long-term a...
Hyperkalemia is a life-threatening electrolyte disorder that is common in patients with chronic kidn...
While Multimodal Large Language Models (MLLMs) show promising performance in automated electrocardio...
The Segment Anything Model (SAM) has revolutionized interactive segmentation through spatial prompti...
Recent biosignal foundation models (FMs) have demonstrated promising performance across diverse clin...
Electrocardiography (ECG) is a low-cost, widely used modality for diagnosing electrical abnormalitie...
Automated electrocardiogram (ECG) classification is essential for early detection of cardiovascular ...
Background: Acute heart failure (AHF) exhibits marked heterogeneity in diastolic hemodynamics, yet c...
Catheter-based interventions are widely used for the diagnosis and treatment of cardiac diseases. Re...
Structural heart disease (SHD) is a prevalent condition with many undiagnosed cases, and early detec...
Sudden cardiac death risk is 2-3-fold higher in athletes than in non-athletes. We classify sports-re...
A clinically actionable Cardiac Digital Twin (CDT) should reconstruct individualised cardiac anatomy...
Electrocardiogram (ECG) analysis is crucial for diagnosing heart disease, but most self-supervised l...