Latest AI and machine learning research in atherosclerosis for healthcare professionals.
The study proposes a novel machine learning (ML) paradigm for cardiovascular disease (CVD) detection...
BACKGROUND: Lipid metabolism disorder, as one major complication in patients with chronic kidney dis...
PURPOSE: Although segmentation of Abdominal Aortic Aneurysms (AAA) thrombus is a crucial step for bo...
Research output related to artificial intelligence (AI) in vascular diseases has been poorly investi...
The aim of this study is to analyse the determinants of women's vaginal dryness using machine learni...
In biological systems, Glutamic acid is a crucial amino acid which is used in protein biosynthesis. ...
BACKGROUND AND PURPOSE: Accurate radiologic prediction of cavernous sinus invasion by pituitary aden...
 Type 2 diabetes mellitus (T2DM) associated with oxidative stress and inflammation causes endotheli...
INTRODUCTION: In elderly patients with cervical spinal cord injury, comorbidities such as cardiovasc...
In this study, we investigated the antiviral activity of lyophilized crude leaf extracts of the Phil...
The risk of coronary heart disease (CHD) clinical manifestations and patient management is estimated...
Bacteriophage plaque enumeration is a critical step in a wide array of protocols. The current gold ...
BACKGROUND: Early and automated detection of carotid plaques prevents strokes, which are the second ...
We aimed to investigate the change patterns in corneal sub-basal nerve morphology and corneal intrin...
Vision loss happens due to diabetic retinopathy (DR) in severe stages. Thus, an automatic detection ...
Machine learning approaches have shown great promise in biology and medicine discovering hidden info...
Sickle cell disease, a genetic disorder affecting a sizeable global demographic, manifests in sickle...
BACKGROUND: The death due to stroke is caused by embolism of the arteries which is due to the ruptur...
Enlargement or aneurysm of the aorta predisposes to dissection, an important cause of sudden death. ...
OBJECTIVES: Deep-learning image reconstruction (DLIR) offers unique opportunities for reducing image...
The development of in vitro neural networks depends to a large extent on the scaffold properties, in...