Atherosclerosis

DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies.

Transcriptome-wide association studies (TWAS) have been increasingly applied to identify (putative) ...

A deep-learning model for intracranial aneurysm detection on CT angiography images in China: a stepwise, multicentre, early-stage clinical validation study.

BACKGROUND: Artificial intelligence (AI) models in real-world implementation are scarce. Our study a...

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...

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

AI-powered Hyperrealism: Next Step in Cinematic Rendering?

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

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...

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...

Application of an artificial intelligence for quantitative analysis of endothelial capillary beds in vitro.

BACKGROUND: The use of endothelial cell cultures has become fundamental to study angiogenesis. Recen...

A Novel Detection of Cerebrovascular Disease using Multimodal Medical Image Fusion.

BACKGROUND: Diseases are medical situations that are allied with specific signs and symptoms. A dise...

Development of an efficient novel method for coronary artery disease prediction using machine learning and deep learning techniques.

BACKGROUND: Heart disease is a severe health issue that results in high fatality rates worldwide. Id...

PSAA-nnUNet: An Efficient Method for CT Carotid Artery Image Segmentation.

Carotid artery (CA) stenosis (CAS) constitutes a significant factor to ischaemic cerebrovascular eve...

Enhancing coronary artery plaque analysis via artificial intelligence-driven cardiovascular computed tomography.

Coronary computed tomography angiography (CCTA) is a noninvasive imaging modality of cardiac structu...

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...

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...

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 ...

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...