About: Artificial Intelligence and Echocardiography: A Primer for Cardiac Sonographers

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Artificial Intelligence and Echocardiography: A Primer for Cardiac Sonographers
Creator	Adams, David North, Carolina Billick, Kristen Davis, Ashlee Durham, D Durham, La Healthcare, Stanford Horton, Kenneth Jankowski, Madeline Jolla, Irvine Knoll, Peg Marshall, Jane Palma, Richie Paloma, Alan Scripps, Stanford, A
source	Elsevier; Medline; PMC
abstract	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.
has issue date	2020-06-11(xsd:dateTime)
bibo:doi	10.1016/j.echo.2020.04.025
bibo:pmid	32536431
has license	no-cc
sha1sum (hex)	0c4aaa5de42fdf8277b46f4bee4a390c5194cec4
schema:url	https://doi.org/10.1016/j.echo.2020.04.025
resource representing a document's title	Artificial Intelligence and Echocardiography: A Primer for Cardiac Sonographers
has PubMed Central identifier	PMC7289098
has PubMed identifier	32536431
schema:publication	J Am Soc Echocardiogr
resource representing a document's body	covid:0c4aaa5de42fdf8277b46f4bee4a390c5194cec4#body_text
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