Automation, machine learning, and artificial intelligence in echocardiography: A brave new world

Sumeet Gandhi; Wassim Mosleh; Joshua Shen; Chi‐Ming Chow

doi:10.1111/echo.14086

journal article Jul 05, 2018

Automation, machine learning, and artificial intelligence in echocardiography: A brave new world

Sumeet Gandhi

Wassim Mosleh

Joshua Shen Chi‐Ming Chow

Echocardiography Vol. 35 No. 9 pp. 1402-1418 · Wiley

View at Publisher Save 10.1111/echo.14086

Abstract

Automation, machine learning, and artificial intelligence (AI) are changing the landscape of echocardiography providing complimentary tools to physicians to enhance patient care. Multiple vendor software programs have incorporated automation to improve accuracy and efficiency of manual tracings. Automation with longitudinal strain and 3D echocardiography has shown great accuracy and reproducibility allowing the incorporation of these techniques into daily workflow. This will give further experience to nonexpert readers and allow the integration of these essential tools into more echocardiography laboratories. The potential for machine learning in cardiovascular imaging is still being discovered as algorithms are being created, with training on large data sets beyond what traditional statistical reasoning can handle. Deep learning when applied to large image repositories will recognize complex relationships and patterns integrating all properties of the image, which will unlock further connections about the natural history and prognosis of cardiac disease states. The purpose of this review article was to describe the role and current use of automation, machine learning, and AI in echocardiography and discuss potential limitations and challenges of in the future.

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Metrics

109

Citations

35

References

Details

Published: Jul 05, 2018
Vol/Issue: 35(9)
Pages: 1402-1418
License: View

Authors

S

Sumeet Gandhi

Hamilton Health Sciences Centre McMaster University Hamilton Ontario Canada; St. Michael's Hospital University of Toronto Toronto Ontario Canada

W

Wassim Mosleh

University of Buffalo Buffalo NY USA

J

Joshua Shen

St. Michael's Hospital University of Toronto Toronto Ontario Canada

C

Chi‐Ming Chow

St. Michael's Hospital University of Toronto Toronto Ontario Canada

Cite This Article

Sumeet Gandhi, Wassim Mosleh, Joshua Shen, et al. (2018). Automation, machine learning, and artificial intelligence in echocardiography: A brave new world. Echocardiography, 35(9), 1402-1418. https://doi.org/10.1111/echo.14086

Automation, machine learning, and artificial intelligence in echocardiography: A brave new world

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