Latest AI and machine learning research in congestive heart failure for healthcare professionals.
Cardiovascular modeling has rapidly advanced over the past few decades due to the rising needs for h...
Background: Transthyretin cardiomyopathy (ATTR-CM) is a progressive, potentially fatal disease requi...
Aims: Dynamic left ventricular outflow tract obstruction (LVOTO) is a hemodynamically significant co...
Identification and quantification of myocardial scar is important for diagnosis and prognosis of car...
Hypertrophic cardiomyopathy (HCM) requires accurate risk stratification to inform decisions regardin...
Implicit neural representations (INRs) have emerged as a powerful framework for continuous image rep...
Sleep disturbances lead to risk for cardiovascular (CV), metabolic, and neurological diseases. While...
Computer-aided segmentation of brain tumors from MRI data is of crucial significance to clinical dec...
Background: Pediatric dilated cardiomyopathy (DCM) is a rare, progressive heart disease with variabl...
Background: Anemia is nearly ubiquitous in hospitalized patients with congestive heart failure (CHF)...
Introduction: Cardiovascular magnetic resonance (CMR) is the reference standard for quantifying card...
Abstract Background: Echocardiography (echo) notes contain valuable prognostic information for patie...
Diabetic retinopathy (DR) and diabetic macular edema (DME) are leading causes of preventable blindne...
Background: Acute heart failure (AHF) exhibits marked heterogeneity in diastolic hemodynamics, yet c...
Background: Pressure volume (PV) loop analysis remains the gold standard for assessing the intrinsic...
Background: Intrinsic capacity (IC) is a key marker of healthy ageing, which captures an individuals...
The rapid progress of multimodal large language models (MLLMs) has led to increasing interest in age...
Neural network accelerators have been widely applied to edge devices for complex tasks like object t...
Sudden cardiac death (SCD) is unpredictable, and its prediction in Chagas cardiomyopathy (CC) remain...
Report-supervised (RSuper) learning seeks to alleviate the need for dense tumor voxel labels with co...
Background: Advances in wearable devices and machine-learning-based ECG analysis enable highly accur...