Latest AI and machine learning research in congestive heart failure for healthcare professionals.
The global health implications of fine particulate matter (PM) underscore the imperative need for re...
Radial applanation tonometry is a well-established technique for hemodynamic monitoring and is becom...
Diabetic retinopathy (DR) poses a significant challenge in diabetes management, with its progression...
This study aimed to develop several new machine learning models based on hibernating myocardium to p...
Atrial fibrillation (AF) is the most common clinically significant cardiac arrhythmia and is an impo...
OBJECTIVES: In patients having naïve glioblastoma multiforme (GBM), this study aims to assess the ef...
The Drosophila model is pivotal in deciphering the pathophysiological underpinnings of various human...
PURPOSE: Tricuspid valve flow velocities are challenging to measure with cardiovascular MR, as the r...
We construct non-linear machine learning (ML) prediction models for systolic and diastolic blood pre...
The accurate prediction of in-hospital mortality in Asian women after ST-Elevation Myocardial Infarc...
BACKGROUND AND OBJECTIVES: Optical coherence tomography (OCT) has ushered in a transformative era in...
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is a widespread hereditary cardiac pathology character...
An always-on electrocardiogram (ECG) anomaly detector (EAD) with ultra-low power (ULP) consumption i...
BACKGROUND: Although risk calculators are used to prognosticate postoperative outcomes following rev...
Lung ultrasound (LUS) is an effective tool for diagnosing acute heart failure (AHF). However, severa...
Metastatic brain cancer is a condition characterized by the migration of cancer cells to the brain f...
Cardiac magnetic resonance (CMR) imaging allows precise non-invasive quantification of cardiac funct...
Assessment of pulmonary regurgitation (PR) guides treatment for patients with congenital heart disea...
To provide accurate predictions, current machine learning-based solutions require large, manually la...
Nocturnal blood pressure (BP) monitoring offers valuable insights into various aspects of human well...
To assess the feasibility of code-free deep learning (CFDL) platforms in the prediction of binary ou...