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Artificial Intelligence–Enabled POCUS in the COVID-19 ICU: A New Spin on Cardiac Ultrasound
We present the novel use of a deep learning–derived technology trained on the skilled hand movements of cardiac sonographers that guides novice users to acquire high-quality bedside cardiac ultrasound images. We illustrate its use at the point of care through a series of patient encounters in the CO...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889018/ https://www.ncbi.nlm.nih.gov/pubmed/33619470 http://dx.doi.org/10.1016/j.jaccas.2020.12.013 |
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author | Cheema, Baljash S. Walter, James Narang, Akhil Thomas, James D. |
author_facet | Cheema, Baljash S. Walter, James Narang, Akhil Thomas, James D. |
author_sort | Cheema, Baljash S. |
collection | PubMed |
description | We present the novel use of a deep learning–derived technology trained on the skilled hand movements of cardiac sonographers that guides novice users to acquire high-quality bedside cardiac ultrasound images. We illustrate its use at the point of care through a series of patient encounters in the COVID-19 intensive care unit. (Level of Difficulty: Beginner.) |
format | Online Article Text |
id | pubmed-7889018 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-78890182021-02-18 Artificial Intelligence–Enabled POCUS in the COVID-19 ICU: A New Spin on Cardiac Ultrasound Cheema, Baljash S. Walter, James Narang, Akhil Thomas, James D. JACC Case Rep Mini-Focus Issue: Imaging We present the novel use of a deep learning–derived technology trained on the skilled hand movements of cardiac sonographers that guides novice users to acquire high-quality bedside cardiac ultrasound images. We illustrate its use at the point of care through a series of patient encounters in the COVID-19 intensive care unit. (Level of Difficulty: Beginner.) Elsevier 2021-02-17 /pmc/articles/PMC7889018/ /pubmed/33619470 http://dx.doi.org/10.1016/j.jaccas.2020.12.013 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Mini-Focus Issue: Imaging Cheema, Baljash S. Walter, James Narang, Akhil Thomas, James D. Artificial Intelligence–Enabled POCUS in the COVID-19 ICU: A New Spin on Cardiac Ultrasound |
title | Artificial Intelligence–Enabled POCUS in the COVID-19 ICU: A New Spin on Cardiac Ultrasound |
title_full | Artificial Intelligence–Enabled POCUS in the COVID-19 ICU: A New Spin on Cardiac Ultrasound |
title_fullStr | Artificial Intelligence–Enabled POCUS in the COVID-19 ICU: A New Spin on Cardiac Ultrasound |
title_full_unstemmed | Artificial Intelligence–Enabled POCUS in the COVID-19 ICU: A New Spin on Cardiac Ultrasound |
title_short | Artificial Intelligence–Enabled POCUS in the COVID-19 ICU: A New Spin on Cardiac Ultrasound |
title_sort | artificial intelligence–enabled pocus in the covid-19 icu: a new spin on cardiac ultrasound |
topic | Mini-Focus Issue: Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889018/ https://www.ncbi.nlm.nih.gov/pubmed/33619470 http://dx.doi.org/10.1016/j.jaccas.2020.12.013 |
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