Latest AI and machine learning research in hypertension for healthcare professionals.
Purpose To develop an end-to-end deep learning (DL) pipeline for automated ventricular segmentation ...
Comprehensive management approaches for patients with ischemic heart disease (IHD) are important aid...
BACKGROUND: The left ventricle segmentation (LVS) is crucial to the assessment of cardiac function. ...
Thrombolytic therapy is essential for acute ischemic stroke (AIS) management but poses a risk of he...
The antibodies directed against human leukocyte antigen (HLA) molecules, which play a crucial role i...
Fusing demographic information into deep learning models has become of interest in recent end-to-end...
Hepatic hydrothorax refers to the presence of a pleural effusion (usually >500 mL) in a patient with...
To develop and validate a deep learning model based on fundus photos for the identification of coro...
OBJECTIVE: To compare the clinicians' characteristics of "high adopters" and "low adopters" of an ar...
Estimating material properties of personalized human left ventricular (LV) modelling is a central pr...
Up to 8.6% of infants and 80% of children have a heart murmur during their early years of life. The ...
Most of the existing near-infrared noninvasive blood glucose detection models focus on the relations...
To demonstrate feasibility of robot-assisted laparoscopic (RAL) ureteroureterostomy (UU) for benign...
Objective To develop a risk prediction model combining pre/intraoperative risk factors and intraoper...
Vitamin D plays a protective role against COVID-19. Patients with deficiency of vitamin D are more p...
Blood Pressure (BP) is one of the four primary vital signs indicating the status of the body's vital...
Arterial blood pressure (ABP) waveform is a common physiological signal that contains a wealth of ca...
AIMS: An artificial intelligence-augmented electrocardiogram (AI-ECG) algorithm can identify left ve...
This work aims to explore risk factors for ischemic stroke in young adults and analyze the Tradition...
Deep learning models can be applied to electrocardiograms (ECGs) to detect left ventricular (LV) dys...
Prevention and treatment of hypertension (HTN) are a challenging public health problem. Recent evide...