Latest AI and machine learning research in myocardial infarction for healthcare professionals.
Deep learning training is non-deterministic: identical code with different random seeds produces mod...
Low left ventricular ejection fraction (LEF) frequently remains undetected until progression to symp...
Electrocardiograms (ECGs) are among the most widely available clinical signals and play a central ro...
Purpose: Early recognition of deterioration in patients with suspected infection at the emergency de...
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 ...
Rare cardiac anomalies are difficult to detect from electrocardiograms (ECGs) due to their long-tail...
Background: Prospective stroke registries have advanced our understanding of cerebrovascular disease...
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...
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...
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...
Rationale Autonomic dysfunction is a hallmark of sepsis pathophysiology, yet its quantification rema...
Stress detection with wearable physiological sensors is vital in digital health and affective comput...
Background: Cardiovascular disease remains the leading cause of global morbidity and mortality. The ...