Latest AI and machine learning research in congestive heart failure for healthcare professionals.
The rising prevalence of childhood obesity and dyslipidaemia is a major public health concern due t...
Left ventricular mass is a risk marker for cardiovascular events, and may indicate an underlying car...
Post-induction hypotension is common and associated with postoperative complications. We hypothesise...
Left ventricular ejection fraction (LVEF) is essential for evaluating left ventricular systolic func...
In this paper, a system to assess dyspnea with the mMRC scale, on the phone, via deep learning, is p...
Aortic stenosis (AS) affects about 1.5 million people in the United States and is associated with a ...
Left ventricular diastolic dyfunction detection is particularly important in cardiac function screen...
OBJECTIVE: In the management of the aortic aneurysm, 4D flow magnetic resonance Imaging provides val...
Tumor burden assessment by magnetic resonance imaging (MRI) is central to the evaluation of treatmen...
Feline hypertrophic cardiomyopathy (HCM) is a common heart disease affecting 10-15% of all cats. Cat...
OBJECTIVE: To investigate the predictive value of deep learning-based cardiac ultrasound flow imagin...
With the rapid development of artificial intelligence and image processing technology, medical imagi...
This study aimed to assess the image quality and accuracy of respiratory-gated real-time two-dimensi...
Traumatic brain injury (TBI) engenders traumatic necrosis and penumbra-areas of secondary neural inj...
Echocardiography is the first-line diagnostic technique for heart diseases. Although artificial inte...
Drug safety initiatives have endorsed human iPSC-derived cardiomyocytes (hiPSC-CMs) as an in vitro m...
We report the use of robot-assisted right thoracotomy in the management of a patient who presented w...
OBJECTIVES: Preventing the expansion of perihematomal edema (PHE) represents a novel strategy for th...
Background Automated analysis of cardiovascular magnetic resonance images provides the potential to ...
PURPOSE: The purpose of this study was to use the neural network to distinguish optic edema (ODE), a...
BACKGROUND: Cardiac magnetic resonance (CMR) imaging is important for diagnosis and risk stratificat...