Cardiovascular

Atherosclerosis

Latest AI and machine learning research in atherosclerosis for healthcare professionals.

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Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography.

OBJECTIVES: Deep-learning image reconstruction (DLIR) offers unique opportunities for reducing image...

Generation of Interconnected Neural Clusters in Multiscale Scaffolds from Human-Induced Pluripotent Stem Cells.

The development of in vitro neural networks depends to a large extent on the scaffold properties, in...

Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging.

In current clinical practice, tumor response assessment is usually based on tumor size change on ser...

Intracerebral haemorrhage volume, haematoma expansion and 3-month outcomes in patients on antiplatelets. A systematic review and meta-analysis.

AIMS: We assessed the association of prior antiplatelet therapy (APT) at onset of intracerebral haem...

Machine learning models for screening carotid atherosclerosis in asymptomatic adults.

Carotid atherosclerosis (CAS) is a risk factor for cardiovascular and cerebrovascular events, but du...

Ultrasound deep learning for monitoring of flow-vessel dynamics in murine carotid artery.

Several arterial diseases are closely related with mechanical properties of the blood vessel and int...

A Machine-Learning-Based System for Prediction of Cardiovascular and Chronic Respiratory Diseases.

Cardiovascular and chronic respiratory diseases are global threats to public health and cause approx...

Release of Hyaluronan in Aneurysmal Subarachnoid Hemorrhage and Cerebral Vasospasm: A Pilot Study Indicating a Shedding of the Endothelial Glycocalyx.

BACKGROUND: This pilot study investigated plasma concentrations of hyaluronan, heparan sulfate, and ...

Effect of Oxidized LDL on Platelet Shape, Spreading, and Migration Investigated with Deep Learning Platelet Morphometry.

Platelets are functionally versatile blood cells involved in thrombosis, hemostasis, atherosclerosis...

Review and current update of robotic-assisted laparoscopic vascular surgery.

The field of vascular surgery is constantly evolving and is unsurpassed in its innovation and adopti...

A Generalized Approach for Automatic 3-D Geometry Assessment of Blood Vessels in Transverse Ultrasound Images Using Convolutional Neural Networks.

Accurate 3-D geometries of arteries and veins are important clinical data for diagnosis of arterial ...

Circulating Levels of Endothelin-1 and Big Endothelin-1 in Patients with Essential Hypertension.

The role of endothelin-1 (ET-1) in the pathogenesis of hypertension (HTN) is not clearly established...

Elevated Plasma von Willebrand Factor Levels Are Associated With Subsequent Ischemic Stroke in Persons With Treated HIV Infection.

BACKGROUND: We assessed whether key biomarkers of endothelial activation and hemostasis/thrombosis w...

Deep Learning Algorithms-Based CT Images in Glucocorticoid Therapy in Asthma Children with Small Airway Obstruction.

CT image information data under deep learning algorithms was adopted to evaluate small airway functi...

Lipoprotein-associated phospholipase A2 and carotid intima-media thickness in primary Sjögren syndrome.

OBJECTIVES: This study aims to evaluate serum lipoprotein-associated phospholipase A2 (Lp-PLA2) leve...

Machine learning predictive models of LDL-C in the population of eastern India and its comparison with directly measured and calculated LDL-C.

BACKGROUND: LDL-C is a strong risk factor for cardiovascular disorders. The formulas used to calcula...

Ultrasound Image Features under Deep Learning in Breast Conservation Surgery for Breast Cancer.

This study was to analyze the effect of the combined application of deep learning technology and ult...

Gallstone Disease in Cirrhosis-Pathogenesis and Management.

Gallstones are more common in patients with cirrhosis of the liver, and the incidence increases with...

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