Atherosclerosis

A Video-based Automated Tracking and Analysis System of Plaque Burden in Carotid Artery Using Deep Learning: A Comparison with Senior Sonographers.

BACKGROUND AND OBJECTIVE: The incidence of stroke is rising, and it is the second major cause of mor...

Software that combines deep learning, 3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging.

BACKGROUND: Ultrasound is one of the non-invasive techniques that are used in clinical diagnostics o...

AI-powered Hyperrealism: Next Step in Cinematic Rendering?

Background Recent advancements in artificial intelligence (AI)-powered image generation present oppo...

AI: A New Solution for Old Issues of Carotid Atherosclerotic Plaque.

Deep Learning Models for Coronary Atherosclerosis Detection in Coronary CT Angiography.

BACKGROUND: Patients with atherosclerosis have a rather high risk of showing complications, if not d...

Association of Vitamin D with Risk Factors for Coronary Artery Disease.

Vitamin D safeguards cardiovascular health by reducing inflammation and susceptibility to atheroma. ...

Changes of plasma Rap1A levels in patients with in-stent restenosis after percutaneous coronary intervention and the underlying mechanisms.

OBJECTIVES: Percutaneous coronary intervention (PCI) is one of the most important treatments for cor...

H2Opred: a robust and efficient hybrid deep learning model for predicting 2'-O-methylation sites in human RNA.

2'-O-methylation (2OM) is the most common post-transcriptional modification of RNA. It plays a cruci...

Combination of deep learning and 2D CARS figures for identification of amyloid-β plaques.

In vivo imaging and accurate identification of amyloid-β (Aβ) plaque are crucial in Alzheimer's dise...

A Deep Learning Framework for Image-Based Screening of Kawasaki Disease.

Kawasaki disease (KD) is a leading cause of acquired heart disease in children and is characterized ...

Assessing the Generalizability of a Deep Learning-based Automated Atrial Fibrillation Algorithm.

Automated detection of atrial fibrillation (AF) from electrocardiogram (ECG) traces remains a challe...

Evaluating a 3D deep learning pipeline for cerebral vessel and intracranial aneurysm segmentation from computed tomography angiography-digital subtraction angiography image pairs.

OBJECTIVE: Computed tomography angiography (CTA) is the most widely used imaging modality for intrac...

Dentronics: tooth cleaning with a tactile collaborative robot - an in vitro proof of concept.

AIM: The aim of the present study was to compare the performance of a tactile collaborative robot pr...

SmartWoodID-an image collection of large end-grain surfaces to support wood identification systems.

Wood identification is a key step in the enforcement of laws and regulations aimed at combatting ill...

Deep Learning Using Preoperative AS-OCT Predicts Graft Detachment in DMEK.

PURPOSE: To evaluate a novel deep learning algorithm to distinguish between eyes that may or may not...

Using artificial intelligence to study atherosclerosis, predict risk and guide treatments in clinical practice.

Advancing Diabetic Retinopathy Diagnosis: Leveraging Optical Coherence Tomography Imaging with Convolutional Neural Networks.

Diabetic retinopathy (DR) is a vision-threatening complication of diabetes, necessitating early and ...

Live-Cell Labeling and Artificial Intelligence Approaches for High-Resolution XYZT Imaging of Cytoskeletal Dynamics During Collective Cell Migration.

Collective cell migration is crucial for a variety of pathophysiological processes including embryon...

Deep Learning Model for the Detection of Corneal Edema Before Descemet Membrane Endothelial Keratoplasty on Optical Coherence Tomography Images.

PURPOSE: Descemet membrane endothelial keratoplasty (DMEK) is the preferred method for treating corn...

Prospective Validation of a Machine Learning Model for Low-Density Lipoprotein Cholesterol Estimation.

OBJECTIVE: We aim to prospectively validate a previously developed machine learning algorithm for lo...

Enhanced Diagnosis of Plaque Erosion by Deep Learning in Patients With Acute Coronary Syndromes.

BACKGROUND: Acute coronary syndromes caused by plaque erosion might be potentially managed conservat...