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Clinical Implementation of an Artificial Intelligence Tool in the Detection and Management of Pneumothoraces in Patients With COVID-19

In this report, we present a series involving critically ill patients with known coronavirus disease (COVID-19) infection where a portable X-ray machine equipped with artificial intelligence (AI) software aided in the urgent radiographic diagnosis of pneumothorax. These cases demonstrate how real-wo...

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Autores principales: Hunter, Joshua G, Pierce, Jonathan D, Gilkeson, Robert C, Bera, Kaustav, Gupta, Amit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10457148/
https://www.ncbi.nlm.nih.gov/pubmed/37637593
http://dx.doi.org/10.7759/cureus.42509
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author Hunter, Joshua G
Pierce, Jonathan D
Gilkeson, Robert C
Bera, Kaustav
Gupta, Amit
author_facet Hunter, Joshua G
Pierce, Jonathan D
Gilkeson, Robert C
Bera, Kaustav
Gupta, Amit
author_sort Hunter, Joshua G
collection PubMed
description In this report, we present a series involving critically ill patients with known coronavirus disease (COVID-19) infection where a portable X-ray machine equipped with artificial intelligence (AI) software aided in the urgent radiographic diagnosis of pneumothorax. These cases demonstrate how real-world clinical employment of AI tools capable of analyzing and prioritizing studies in the radiologist’s worklist can potentially lead to earlier detection of emergent findings like pneumothorax. The use of AI tools in this manner has the potential to both improve radiology workflow and add significant clinical value in managing critically ill patient populations, such as those with severe COVID-19 infection.
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spelling pubmed-104571482023-08-26 Clinical Implementation of an Artificial Intelligence Tool in the Detection and Management of Pneumothoraces in Patients With COVID-19 Hunter, Joshua G Pierce, Jonathan D Gilkeson, Robert C Bera, Kaustav Gupta, Amit Cureus Radiology In this report, we present a series involving critically ill patients with known coronavirus disease (COVID-19) infection where a portable X-ray machine equipped with artificial intelligence (AI) software aided in the urgent radiographic diagnosis of pneumothorax. These cases demonstrate how real-world clinical employment of AI tools capable of analyzing and prioritizing studies in the radiologist’s worklist can potentially lead to earlier detection of emergent findings like pneumothorax. The use of AI tools in this manner has the potential to both improve radiology workflow and add significant clinical value in managing critically ill patient populations, such as those with severe COVID-19 infection. Cureus 2023-07-26 /pmc/articles/PMC10457148/ /pubmed/37637593 http://dx.doi.org/10.7759/cureus.42509 Text en Copyright © 2023, Hunter et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Radiology
Hunter, Joshua G
Pierce, Jonathan D
Gilkeson, Robert C
Bera, Kaustav
Gupta, Amit
Clinical Implementation of an Artificial Intelligence Tool in the Detection and Management of Pneumothoraces in Patients With COVID-19
title Clinical Implementation of an Artificial Intelligence Tool in the Detection and Management of Pneumothoraces in Patients With COVID-19
title_full Clinical Implementation of an Artificial Intelligence Tool in the Detection and Management of Pneumothoraces in Patients With COVID-19
title_fullStr Clinical Implementation of an Artificial Intelligence Tool in the Detection and Management of Pneumothoraces in Patients With COVID-19
title_full_unstemmed Clinical Implementation of an Artificial Intelligence Tool in the Detection and Management of Pneumothoraces in Patients With COVID-19
title_short Clinical Implementation of an Artificial Intelligence Tool in the Detection and Management of Pneumothoraces in Patients With COVID-19
title_sort clinical implementation of an artificial intelligence tool in the detection and management of pneumothoraces in patients with covid-19
topic Radiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10457148/
https://www.ncbi.nlm.nih.gov/pubmed/37637593
http://dx.doi.org/10.7759/cureus.42509
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