Deep learning supported echocardiogram analysis: A comprehensive review

G Sanjeevi, U Gopalakrishnan… - Artificial Intelligence in …, 2024 - Elsevier
An echocardiogram is a sophisticated ultrasound imaging technique employed to diagnose
heart conditions. The transthoracic echocardiogram, one of the most prevalent types, is …

Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning

MY Jabarulla, T Uden, T Jack, P Beerbaum… - arXiv preprint arXiv …, 2024 - arxiv.org
Pediatric heart diseases present a broad spectrum of congenital and acquired diseases.
More complex congenital malformations require a differentiated and multimodal decision …

Enhancing Arrhythmogenic Right Ventricular Cardiomyopathy Detection and Risk Stratification: Insights from Advanced Echocardiographic Techniques

N Olivetti, L Sacilotto, DB Moleta, LA França… - Diagnostics, 2024 - mdpi.com
Introduction: The echocardiographic diagnosis criteria for arrhythmogenic right ventricular
cardiomyopathy (ARVC) are highly specific but sensitivity is low, especially in the early …

Right Ventricular Pressure Waveform Analysis–Clinical Relevance and Future Directions

PM Heerdt, VO Kheyfets, HT Oakland, P Joseph… - … of Cardiothoracic and …, 2024 - Elsevier
Continuous measurement of pressure in the right atrium and pulmonary artery has
commonly been used to monitor right ventricular function in critically ill and surgical patients …

Self supervised convolutional kernel based handcrafted feature harmonization: Enhanced left ventricle hypertension disease phenotyping on echocardiography

J Lee, Y Hong, D Jeong, Y Jang, J Jeon… - arXiv preprint arXiv …, 2023 - arxiv.org
Radiomics, a medical imaging technique, extracts quantitative handcrafted features from
images to predict diseases. Harmonization in those features ensures consistent feature …

Artificial intelligence-enhanced automation for M-mode echocardiographic analysis: ensuring fully automated, reliable, and reproducible measurements

D Jeong, S Jung, YE Yoon, J Jeon, Y Jang… - … International Journal of …, 2024 - Springer
To enhance M-mode echocardiography's utility for measuring cardiac structures, we
developed and evaluated an artificial intelligence (AI)-based automated analysis system for …

Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis

S Kim, H Ren, P Guo, AR Ali, P Zhang, K Kim… - arXiv preprint arXiv …, 2024 - arxiv.org
Echocardiography segmentation for cardiac analysis is time-consuming and resource-
intensive due to the variability in image quality and the necessity to process scans from …

Artificial intelligence in echocardiography is here and more to come

O Shimoni, S Shimoni - The International Journal of Cardiovascular …, 2022 - Springer
Artificial intelligence (AI) in cardiology is an emerging field with high expectations. AI could
hopefully assist clinicians in each part of therapy, from admission through diagnosis and …

Editor's choice to the May 2022 issue: Fully automated quantification of cardiac chambers and function in 2D echo by Deep Learning, and a modern atlas of invasive …

JHC Reiber - The International Journal of Cardiovascular Imaging, 2022 - Springer
Dear reader, This May 2022 issue is full with echocardiographic papers with extensive
interest in Strain applications, plus a number of very nice associated Commentaries, as well …

A study on the automated echocardiogram interpretation using deep neural networks for clinical decision support system

손장재 - 2022 - s-space.snu.ac.kr
Echocardiography is an indispensable tool for cardiologists in the diagnosis of heart
diseases. By echocardiography, various structural abnormalities in the heart can be …