Artificial Intelligence and Echocardiography: A Primer for Cardiac Sonographers.
| Autor: | Davis A; Duke Health System, Durham, North Carolina. Electronic address: ashlee.phillips@duke.edu., Billick K; Scripps Clinic, La Jolla, California., Horton K; Intermountain Healthcare, Salt Lake City, Utah., Jankowski M; Northwestern Medicine, Chicago, Illinois., Knoll P; University of California, Irvine, Irvine, California., Marshall JE; Massachusetts General Hospital, Boston, Massachusetts., Paloma A; Stanford Healthcare, Stanford, California., Palma R; Duke Health System, Durham, North Carolina., Adams DB; Duke Health System, Durham, North Carolina. |
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| Jazyk: | angličtina |
| Zdroj: | Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography [J Am Soc Echocardiogr] 2020 Sep; Vol. 33 (9), pp. 1061-1066. Date of Electronic Publication: 2020 Jun 11. |
| DOI: | 10.1016/j.echo.2020.04.025 |
| Abstrakt: | Artificial intelligence (AI) is emerging as a key component in diagnostic medical imaging, including echocardiography. AI with deep learning has already been used with automated view labeling, measurements, and interpretation. As the development and use of AI in echocardiography increase, potential concerns may be raised by cardiac sonographers and the profession. This report, from a sonographer's perspective, focuses on defining AI, the basics of the technology, identifying some current applications of AI, and how the use of AI may improve patient care in the future. (Copyright © 2020 American Society of Echocardiography. Published by Elsevier Inc. All rights reserved.) |
| Databáze: | MEDLINE |
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