Cardiovascular

Peripheral Artery Disease

Latest AI and machine learning research in peripheral artery disease for healthcare professionals.

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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...

Identifying peripheral arterial disease in the elderly patients using machine-learning algorithms.

BACKGROUND: Peripheral artery disease (PAD) is a common syndrome in elderly people. Recently, artifi...

Application of Artificial Intelligence in Acute Coronary Syndrome: A Brief Literature Review.

Artificial intelligence (AI) is defined as a set of algorithms and intelligence to try to imitate hu...

Exploring the diagnostic effectiveness for myocardial ischaemia based on CCTA myocardial texture features.

BACKGROUND: To explore the characteristics of myocardial textures on coronary computed tomography an...

Multilevel Strip Pooling-Based Convolutional Neural Network for the Classification of Carotid Plaque Echogenicity.

Carotid plaque echogenicity in ultrasound images has been found to be closely correlated with the ri...

Vesseg: An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Images-Brief Report.

Objective: Manual plaque segmentation in microscopy images is a time-consuming process in atheroscle...

Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound.

The automated and accurate carotid plaque segmentation in B-mode ultrasound (US) is an essential par...

Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database.

This study presents an application of machine learning (ML) methods for detecting the presence of st...

Computed Tomography Angiography under Deep Learning in the Treatment of Atherosclerosis with Rapamycin.

The clinical characteristics and vascular computed tomography (CT) imaging characteristics of patien...

Guide-Wired Helical Microrobot for Percutaneous Revascularization in Chronic Total Occlusion in-Vivo Validation.

OBJECTIVE: For the revascularization in small vessels such as coronary arteries, we present a guide-...

Deep Learning-Based Carotid Plaque Segmentation from B-Mode Ultrasound Images.

Carotid ultrasound measurement of total plaque area (TPA) provides a method for quantifying carotid ...

Robotic resection of an aortic valve fibroelastoma using a right lateral approach.

BACKGROUND AND AIM OF THE STUDY: Robotic technology provides excellent visualization and surgical pr...

Deep learning-based photoplethysmography classification for peripheral arterial disease detection: a proof-of-concept study.

A proof-of-concept study to assess the potential of a deep learning (DL) based photoplethysmography ...

Leveraging Machine Learning and Artificial Intelligence to Improve Peripheral Artery Disease Detection, Treatment, and Outcomes.

Peripheral artery disease is an atherosclerotic disorder which, when present, portends poor patient ...

Automated classification of coronary atherosclerotic plaque in optical frequency domain imaging based on deep learning.

BACKGROUND AND AIMS: We developed a deep learning (DL) model for automated atherosclerotic plaque ca...

A deep learning-based model for characterization of atherosclerotic plaque in coronary arteries using optical coherence tomography  images.

PURPOSE: Coronary artery events are mainly associated with atherosclerosis in adult population, whic...

Prediction of brain age from routine T2-weighted spin-echo brain magnetic resonance images with a deep convolutional neural network.

Our study investigated the feasibility and clinical relevance of brain age prediction using axial T2...

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