Echocardiography
What's New
Last Posted: Apr 02, 2024
- Echocardiographic Detection of Regional Wall Motion Abnormalities using Artificial Intelligence Compared to Human Readers.
Jeremy A Slivnick et al. J Am Soc Echocardiogr 2024 - Explainable machine learning using echocardiography to improve risk prediction in patients with chronic coronary syndrome.
Mitchel A Molenaar et al. Eur Heart J Digit Health 2024 5(2) 170-182 - Impact of high-risk prenatal screening results for 22q11.2 deletion syndrome on obstetric and neonatal management: Secondary analysis from the SMART study.
Kimberly Martin et al. Prenat Diagn 2023 - Development and Evaluation of a Natural Language Processing System for Curating a Trans-Thoracic Echocardiogram (TTE) Database.
Tim Dong et al. Bioengineering (Basel) 2023 10(11) - Echocardiography-Based Deep Learning Model to Differentiate Constrictive Pericarditis and Restrictive Cardiomyopathy.
Chieh-Ju Chao et al. JACC Cardiovasc Imaging 2023 - Using a polygenic score to account for genomic risk factors in a model to detect individuals with dilated ascending thoracic aortas.
John DePaolo et al. medRxiv 2023 - Improved assessment of left ventricular ejection fraction using artificial intelligence in echocardiography: A comparative analysis with cardiac magnetic resonance imaging.
Krunoslav Michael Sveric et al. Int J Cardiol 2023 131383 - Prenatal diagnosis and early childhood outcome of fetuses with extremely large nuchal translucency.
Hang Zhou et al. Mol Cytogenet 2023 16(1) 22 - Artificial intelligence in the pediatric echocardiography laboratory: Automation, physiology, and outcomes.
Minh B Nguyen et al. Front Radiol 2023 2881777 - Validation of ASE Guideline Recommended Parameters of Right Ventricular Dysfunction Using Artificial Intelligence Compared to Cardiac Magnetic Resonance Imaging.
Brian C Hsia et al. J Am Soc Echocardiogr 2023 - Revolution of echocardiographic reporting: the new era of artificial intelligence and natural language processing.
Kenya Kusunose et al. J Echocardiogr 2023 - Evaluation of Wearable Acoustic Sensors and Machine Learning Algorithms for Automated Measurement of Left Ventricular Ejection Fraction.
Kimberly Howard-Quijano et al. Am J Cardiol 2023 20087-94 - A novel breakthrough in wrist-worn transdermal troponin-I-sensor assessment for acute myocardial infarction.
Shantanu Sengupta et al. Eur Heart J Digit Health 2023 4(3) 145-154 - Deep learning approach for analyzing chest x-rays to predict cardiac events in heart failure.
Kenya Kusunose et al. Front Cardiovasc Med 2023 101081628 - [Association between clinical phenotypes of hypertrophic cardiomyopathy and Ca gene variation gene variation].
J Zhao et al. Zhonghua Xin Xue Guan Bing Za Zhi 2023 51(5) 497-503 - Deep learning-based measurement of echocardiographic data and its application in the diagnosis of sudden cardiac death.
Lu Zhang et al. Biotechnol Genet Eng Rev 2023 1-13 - Machine learning-enhanced echocardiography for screening coronary artery disease.
Ying Guo et al. Biomed Eng Online 2023 22(1) 44 - Echocardiography-based AI for detection and quantification of atrial septal defect.
Xixiang Lin et al. Front Cardiovasc Med 2023 10985657 - Deep Learning for Echocardiography: Introduction for Clinicians and Future Vision: State-of-the-Art Review.
Chayakrit Krittanawong et al. Life (Basel) 2023 13(4) - AI outperforms sonographers at diagnosing cardiac function on echocardiography.
Irene Fernández-Ruiz et al. Nat Rev Cardiol
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About HLBS-PopOmics
HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more
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Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Page last updated:Apr 25, 2024
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