Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2023 Aug 25;2(6):100574.
doi: 10.1016/j.jacadv.2023.100574. eCollection 2023 Aug.

Echocardiography in the Era of Artificial Intelligence

Editorial

Echocardiography in the Era of Artificial Intelligence

Candice K Silversides. JACC Adv. .
No abstract available

PubMed Disclaimer

References

    1. Toma A., Diller G., Lawler P., et al. Deep learning in medicine. JACC: Adv. 2022;1(1) doi: 10.1016/j.jacadv.2022.100017. - DOI
    1. Dey D., Slomka P., Leeson P., et al. Artificial intelligence in cardiovascular imaging. J Am Coll Cardiol. 2019;73(11):1317–1335. doi: 10.1016/j.jacc.2018.12.054. - DOI - PMC - PubMed
    1. Narula S., Shameer K., Salem Omar A., et al. Machine-learning algorithms to automate morphological and functional assessments in 2D echocardiography. J Am Coll Cardiol. 2016;68(21):2287–2295. doi: 10.1016/j.jacc.2016.08.062. - DOI - PubMed
    1. Sengupta P.P., Huang Y.M., Bansal M., et al. Cognitive machine-learning algorithm for cardiac imaging: a pilot study for differentiating constrictive pericarditis from restrictive cardiomyopathy. Circ Cardiovasc Imaging. 2016;9(6) doi: 10.1161/CIRCIMAGING.115.004330. - DOI - PMC - PubMed
    1. Lawler P., Silversides C. Untangling heterogeneity in cardiogenic shock. JACC: Adv. 2022;1(4) doi: 10.1016/j.jacadv.2022.100129. - DOI

Publication types

LinkOut - more resources