Latest AI and machine learning research in hypertension for healthcare professionals.
Continuous monitoring of Arterial Blood Pressure (ABP) in critically ill patients requires invasive ...
Background Polycyclic aromatic hydrocarbons (PAHs) and volatile organic compounds (VOCs) are combust...
Progression to dialysis or end-stage renal disease is a rare but clinically important outcome. Clini...
Background: Mechanical ventricular unloading and systemic circulatory support with left ventricular ...
Backgound: Accurate assessment of diastolic function and left ventricular (LV) filling pressure is c...
Background: Chronic conditions such as hypertension can significantly disrupt daily life and emotion...
Introduction: Accurate stratification of hard atherosclerotic cardiovascular disease (ASCVD) risk re...
Clinicians lack precision medicine tools to estimate individualized treatment effects for patients w...
Cardiovascular modeling has rapidly advanced over the past few decades due to the rising needs for h...
Background: The 2017 American College of Cardiology/American Heart Association (ACC/AHA) guideline l...
Implicit neural representations (INRs) have emerged as a powerful framework for continuous image rep...
Retinal fundus imaging enables low-cost and scalable hypertension (HTN) screening, but HTN-related r...
Introduction: Cardiovascular magnetic resonance (CMR) is the reference standard for quantifying card...
Abstract Background: Echocardiography (echo) notes contain valuable prognostic information for patie...
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...
Introduction: Cardiovascular diseases (CVDs) are the leading cause of death globally, with rising bu...
Neural network accelerators have been widely applied to edge devices for complex tasks like object t...
Background: Advances in wearable devices and machine-learning-based ECG analysis enable highly accur...
This study presents RED RHD, a machine learning methodology for early detection and classification o...