AIMC Topic: Echocardiography
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Automated Echocardiographic Detection of Heart Failure With Preserved Ejection Fraction Using Artificial Intelligence Is Associated With Cardiac Mortality and Heart Failure Hospitalization.
Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Jul 2, 2024
Enhanced classification of left ventricular hypertrophy in cardiac patients using extended Siamese CNN.
Physics in medicine and biology
Jul 2, 2024
Left ventricular hypertrophy (LVH) is the thickening of the left ventricle wall of the heart. The objective of this study is to develop a novel approach for the accurate assessment of LVH) severity, addressing the limitations of traditional manual gr...
Deep Learning for Echo Analysis, Tracking, and Evaluation of Mitral Regurgitation (DELINEATE-MR).
Circulation
Jun 17, 2024
BACKGROUND: Artificial intelligence, particularly deep learning (DL), has immense potential to improve the interpretation of transthoracic echocardiography (TTE). Mitral regurgitation (MR) is the most common valvular heart disease and presents unique...
Point-of-care AI-enhanced novice echocardiography for screening heart failure (PANES-HF).
Scientific reports
Jun 12, 2024
The increasing prevalence of heart failure (HF) in ageing populations drives demand for echocardiography (echo). There is a worldwide shortage of trained sonographers and long waiting times for expert echo. We hypothesised that artificial intelligenc...
Towards deep learning methods for quantification of the right ventricle using 2D echocardiography.
Future cardiology
Jun 10, 2024
Machine Learning of Cardiac Anatomy and the Risk of New-Onset Atrial Fibrillation After TAVR.
JACC. Clinical electrophysiology
Jun 5, 2024
BACKGROUND: New-onset atrial fibrillation (NOAF) occurs in 5% to 15% of patients who undergo transfemoral transcatheter aortic valve replacement (TAVR). Cardiac imaging has been underutilized to predict NOAF following TAVR.
Building a Novel Artificial Intelligence-Driven Echocardiographic Data Pipeline: Findings From a Large Learning Health System.
Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Jun 1, 2024
Automatic Segmentation for Analysis of Murine Cardiac Ultrasound and Photoacoustic Image Data Using Deep Learning.
Ultrasound in medicine & biology
Jun 1, 2024
OBJECTIVE: Although there are methods to identify regions of interest (ROIs) from echocardiographic images of myocardial tissue, they are often time-consuming and difficult to create when image quality is poor. Further, while myocardial strain from u...
Investigation on ultrasound images for detection of fetal congenital heart defects.
Biomedical physics & engineering express
May 31, 2024
Congenital heart defects (CHD) are one of the serious problems that arise during pregnancy. Early CHD detection reduces death rates and morbidity but is hampered by the relatively low detection rates (i.e., 60%) of current screening technology. The d...
Beyond Years: Is Artificial Intelligence Ready to Predict Biological Age and Cardiovascular Risk Using Echocardiography?
Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
May 24, 2024
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