Atherosclerosis

Measuring Anatomical Outcomes of Anti-Vascular Endothelial Growth Factor Treatment of Diabetic Macular Edema With Artificial Intelligence-A Step Toward Individualized Medicine.

Locate the Superficial Femoral Artery with Occlusion by Deep Neural Network Correcting Interpolation.

In clinical practice, doctors usually use computed tomography angiography (CTA) to examine lower ext...

A deep learning oriented method for automated 3D reconstruction of carotid arterial trees from MR imaging.

The scope of this paper is to present a new carotid vessel segmentation algorithm implementing the U...

Prediction of atherosclerotic disease progression combining computational modelling with machine learning.

Non-invasive serial computed tomography coronary angiography (CTCA) was acquired from 32 patients an...

A Preliminary Study of Predicting Effectiveness of Anti-VEGF Injection Using OCT Images Based on Deep Learning.

Deep learning based radiomics have made great progress such as CNN based diagnosis and U-Net based s...

Multifunctional surface microrollers for targeted cargo delivery in physiological blood flow.

Mobile microrobots offer great promise for minimally invasive targeted medical theranostic applicati...

Automated interpretation of the coronary angioscopy with deep convolutional neural networks.

BACKGROUND: Coronary angioscopy (CAS) is a useful modality to assess atherosclerotic changes, but in...

Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning.

Collecting and curating large medical-image datasets for deep neural network (DNN) algorithm develop...

Machine learning reveals serum sphingolipids as cholesterol-independent biomarkers of coronary artery disease.

BACKGROUNDCeramides are sphingolipids that play causative roles in diabetes and heart disease, with ...

A Deep Learning Approach in Rebubbling After Descemet's Membrane Endothelial Keratoplasty.

PURPOSE: To evaluate the efficacy of deep learning in judging the need for rebubbling after Descemet...

Deep learning predicts function of live retinal pigment epithelium from quantitative microscopy.

Increases in the number of cell therapies in the preclinical and clinical phases have prompted the n...

Deep Learning for Carotid Plaque Segmentation using a Dilated U-Net Architecture.

Carotid plaque segmentation in ultrasound longitudinal B-mode images using deep learning is presente...

Detection of Disease-Specific Parent Cells Via Distinct Population of Nano-Vesicles by Machine Learning.

BACKGROUND: The diagnosis and prognosis of pathological conditions, such as age-related macular dege...

Application of Artificial Intelligence in Targeting Retinal Diseases.

Retinal diseases affect an increasing number of patients worldwide because of the aging population. ...

[Innovative activated platelet detection technology by artificial intelligence].

Although antiplatelet drugs are widely used for the prevention and treatment of atherothrombosis, cl...

Therapeutic approach comparison in bicuspid aortic valve aortopathy and clinical practice implications.

Bicuspid aortic valve (BAV) is the most common heart valve malformation, and it may be associated wi...

Association between Serum Vitamin D Concentration Status and Matrix Metalloproteinase-9 in Patients Undergoing Elective Percutaneous Coronary Intervention.

Cardiovascular diseases (CVD) have become increasingly life-threatening during recent decades. Sever...

Incubation with Cholesterol-loaded Cyclodextrin and Subsequent Dilution in Partially Deoxygenated Extender Improves the Freezability of Cross-bred Bull Sperm.

BACKGROUND: The cryopreservation process induces osmotic stress, membrane changes and production of ...

Motion-compensated frame rate up-conversion in carotid ultrasound images using optical flow and manifold learning.

OBJECTIVE: Carotid ultrasonography is a reliable and non-invasive method to evaluate atherosclerosis...

Potassium selenocyanoacetate reduces the blood triacylglycerol and atherosclerotic plaques in high-fat-dieted mice.

BACKGROUND: Controlling blood lipid levels at the early stage of cardiovascular disease is a major f...

Ex-vivo antihypertensive and calcium channel blocking activity of Androsace foliosa n-hexane leaves fraction on isolated rabbit aorta.

Hypertension is persistent elevation in blood pressure for 3-4 weeks. Estimated global prevalence of...