Latest AI and machine learning research in hypertension for healthcare professionals.
The study proposes a novel machine learning (ML) paradigm for cardiovascular disease (CVD) detection...
This work addresses the design, development and implementation of a 4.0-based wearable soft transduc...
Automatic cardiac chamber and left ventricular (LV) myocardium segmentation over the cardiac cycle s...
Atrial fibrillation (AF) is the most common arrhythmia and is associated with increased thromboembo...
This study outlines and developed a multilayer perceptron (MLP) neural network model for adolescent ...
BACKGROUND: Left ventricular systolic dysfunction (LVSD) in Chagas disease (ChD) is relatively commo...
BACKGROUND: Echocardiography is the diagnostic modality for assessing cardiac systolic and diastolic...
This study was aimed to explore the magnetic resonance imaging (MRI) image features based on the fuz...
Identification of medical conditions using claims data is generally conducted with algorithms based ...
We present an interpretable machine learning algorithm called 'eARDS' for predicting ARDS in an ICU ...
Hypertension is a widespread chronic disease. Risk prediction of hypertension is an intervention tha...
Assisted reproductive technologies (ART) are increasingly used, however little is known about the lo...
Because cardiac involvement of amyloid A (AA) is not frequent, little is known about the effects of ...
BACKGROUND AND AIMS: Artificial Intelligence (AI) methods have recently become critical for research...
This study aims to establish a biological age (BA) predictor and to investigate the roles of lifesty...
Current studies have shown the controversial effect of genetic risk scores (GRSs) in hypertension pr...
Prehypertension is a new risky disease defined in the seventh report issued by the Joint National Co...
A 70-year-old man with severe interstitial pneumonia attributed to limited cutaneous systemic sclero...
OBJECTIVE: Patients with dilated cardiomyopathy (DCM) and severely reduced left ventricular ejection...
Wearable bioelectronics for continuous and reliable pulse wave monitoring against body motion and pe...
We aimed to develop an artificial neural network (ANN) model to estimate the maximal oxygen uptake (...