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
. 2018 Oct 16;138(16):1639-1642.
doi: 10.1161/CIRCULATIONAHA.118.037095.

Will Artificial Intelligence Replace the Human Echocardiographer?

Partho P Sengupta  1 , Donald A Adjeroh  2
Affiliations
Editorial

Will Artificial Intelligence Replace the Human Echocardiographer?

Partho P Sengupta et al. Circulation. .
No abstract available

Keywords: Editorials; artificial intelligence; cognition; decision making; echocardiography; intelligence; machine learning.

PubMed Disclaimer

Figures

Figure.
Figure.. Trends in artificial intelligence techniques in echocardiography based on publications in PubMed.
echo indicates “echocardiography” or “echocardiogram” or “cardiac ultrasound”; FE, “feature extraction” or “feature engineering”; ML, “machine learning”; DL, “deep learning”; “+,” logical AND. PubMed publication counts obtained using the EUtilsSummary() function in the R package “RISmed” (https://CRAN.R-project.org/package=RISmed).
See this image and copyright information in PMC

Comment on

  • Fully Automated Echocardiogram Interpretation in Clinical Practice.
    Zhang J, Gajjala S, Agrawal P, Tison GH, Hallock LA, Beussink-Nelson L, Lassen MH, Fan E, Aras MA, Jordan C, Fleischmann KE, Melisko M, Qasim A, Shah SJ, Bajcsy R, Deo RC. Zhang J, et al. Circulation. 2018 Oct 16;138(16):1623-1635. doi: 10.1161/CIRCULATIONAHA.118.034338. Circulation. 2018. PMID: 30354459 Free PMC article.

References

    1. Narang A, Sinha SS, Rajagopalan B, Ijioma NN, Jayaram N, Kithcart AP, Tanguturi VK, Cullen MW. The supply and demand of the cardiovascular workforce: striking the right balance. J Am Coll Cardiol 2016;68:1680–1689. doi: 10.1016/j.jacc.2016.06.070 - DOI - PMC - PubMed
    1. Michel JB, Sangha DM, Erwin JP 3rd. Burnout among cardiologists. Am J Cardiol 2017;119:938–940. doi: 10.1016/j.amjcard.2016.11.052 - DOI - PubMed
    1. Zhang J, Gajjala S, Agrawal P, Tison GH, Hallock LA, Beussink-Nelson L, Lassen MH, Fan E, Aras MA, Jordan C, Fleischmann KE, Melisko M, Qasim A, Shah SJ, Bajcsy R, Deo RC. Fully automated echocardiogram interpretation in clinical practice: feasibility and diagnostic accuracy. Circulation 2018;138:1623–1635. doi: 10.1161/CIRCULATIONAHA.118.034338 - DOI - PMC - PubMed
    1. Madani A, Arnaout R, Mofrad M, Arnaout R. Fast and accurate view classification of echocardiograms using deep learning. npj Digit Med 2018;1:6. - PMC - PubMed
    1. Smistad E, Ostvik A, Haugen BO, Lovstakken L. 2D left ventricle segmentation using deep learning. IEEE Int Ultrason Symp IUS 2017;4–7. doi: 10.1109/ULTSYM.2017.8092812. https://ieeexplore.ieee.org/document/8092812. Accessed Aug 14, 2018. - DOI