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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2023
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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. |
format | Online Article Text |
id | pubmed-10457148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
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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