Latest AI and machine learning research in hypertension for healthcare professionals.
Due to the growing public awareness of cardiovascular disease (CVD), blood pressure (BP) estimation ...
Blood pressure monitoring is one avenue to monitor people's health conditions. Early detection of ab...
Background Real-world healthcare data are an important resource for epidemiologic research. However,...
Cardiac and aortic characteristics are crucial for cardiovascular disease detection. However, noninv...
As is known, cerebral stroke has become one of the main diseases endangering people's health; ischae...
IMPORTANCE: Most patients with primary aldosteronism, a major cause of secondary hypertension, are n...
A major issue in translation of the artificial intelligence platforms for automatic segmentation of ...
BACKGROUND: Subclinical diastolic dysfunction is a precursor for developing heart failure with prese...
BACKGROUND: A novel disease poses special challenges for informatics solutions. Biomedical informati...
Cardiac CINE magnetic resonance imaging is the gold-standard for the assessment of cardiac function....
progress of fetal development is normally assessed through manual measurements taken from ultrasoun...
BACKGROUND: Identification of systolic heart failure among patients presenting to the emergency depa...
Three-dimensional speckle tracking echocardiography (3D STE) is an emerging noninvasive method for p...
BACKGROUND: To date, the missed diagnosis rate of pulmonary hypertension (PH) was high, and there ha...
Current BP measurements are on the basis of traditional BP cuff approaches. Ambulatory BP monitoring...
To investigate the performance of a deep learning-based algorithm for fully automated quantification...
Background Women with congenital heart disease are considered at high risk for adverse events. There...
The use of artificial intelligence in numerous prediction and classification tasks, including clinic...
BACKGROUND: This study aimed to establish and validate a machine learning-based model for the predic...
This paper focus on a neural network classification model to estimate the association among gender, ...
Visit-to-visit blood pressure variability (BPV) has been shown to be a predictor of cardiovascular d...