[HTML][HTML] Imaging biomarkers in cardiac CT: moving beyond simple coronary anatomical assessment

G Cundari, L Marchitelli, G Pambianchi, F Catapano… - La radiologia …, 2024 - Springer
Cardiac computed tomography angiography (CCTA) is considered the standard non-
invasive tool to rule-out obstructive coronary artery disease (CAD). Moreover, several …

[HTML][HTML] MR imaging of primary benign cardiac tumors in the pediatric population

MC Inserra, MT Cannizzaro, G Passaniti, A Celona… - Heliyon, 2023 - cell.com
Primary cardiac tumors are rare in all ages, especially in children, with a reported
prevalence range of 0.0017–0.28% in autopsy series. Due to their rarity, the diagnostic and …

[HTML][HTML] Real-world approach to comprehensive artificial intelligence-aided CT evaluation of coronary artery disease in 530 patients: A retrospective study

H Gupta, B Spanopoulous, E Lubat, G Krinsky… - Heliyon, 2023 - cell.com
Purpose Recent guidelines provide broader support for the use of less invasive imaging
modalities for the evaluation of patients with stable chest pain. Coronary CT angiography …

[HTML][HTML] Contrast-enhanced cardiac MRI is superior to non-contrast mapping to predict left ventricular remodeling at 6 months after acute myocardial infarction

H Chen, J Erley, K Muellerleile, D Saering… - European …, 2024 - Springer
Objectives Parametric mapping constitutes a novel cardiac magnetic resonance (CMR)
technique enabling quantitative assessment of pathologic alterations of left ventricular (LV) …

[HTML][HTML] Automatic Classification of Magnetic Resonance Histology of Peripheral Arterial Chronic Total Occlusions Using a Variational Autoencoder: A Feasibility …

J Csore, C Karmonik, K Wilhoit, L Buckner, TL Roy - Diagnostics, 2023 - mdpi.com
The novel approach of our study consists in adapting and in evaluating a custom-made
variational autoencoder (VAE) using two-dimensional (2D) convolutional neural networks …

[PDF][PDF] 人工智能在心脏多模态影像中的应用

余妙如, 张德富, 曾伟, 盛媛媛, 罗舒榆… - 临床心血管病 …, 2023 - lcxxgen.whuhzzs.com
人工智能(artificialintelligence, AI) 在医疗领域的应用正在逐渐发展壮大. 通过多种模态影像数据
分析可以帮助医生提高诊断效率, 减少劳动强度, 以及打破医疗的时空限制等 …

[HTML][HTML] Deep learning techniques for imaging diagnosis and treatment of aortic aneurysm

L Huang, J Lu, Y Xiao, X Zhang, C Li… - Frontiers in …, 2024 - frontiersin.org
Objective This study aims to review the application of deep learning techniques in the
imaging diagnosis and treatment of aortic aneurysm (AA), focusing on screening, diagnosis …

[HTML][HTML] Anomalous venoatrial connections–CT and MRI assessment

A Celona, E Caruso, S Farruggio, L Oreto, MC Inserra… - Heliyon, 2023 - cell.com
Abnormal venous atrial (VA) connections present a congenital heart disease (CHD)
challenge for pediatric cardiologists. Fully anatomical evaluation is very difficult in prenatal …

[PDF][PDF] The Role of Artificial Intelligence in Cardiac CT

A Palacios, A Jankauskas - 2024 - lsmu.lt
1. SUMMARY Author: Alexander Palacios Title: The Role of Artificial Intelligence in Cardiac
CT AIM: To determine technical methods and investigation of artificial intelligence in heart …

Advances in the application of artificial intelligence in multimodality cardiac imaging

YU Miaoru, Z Defu, Z Wei, S Yuanyuan… - J Clin …, 2023 - en.whuhzzs.com
Abstract The application of Artificial Intelligence (AI) in the medical field is gradually
developing. Multi-modal image data analysis can help doctors improve diagnostic efficiency …