Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets

Chest CT is emerging as a valuable diagnostic tool for clinical management of COVID-19 associated lung disease. Here, the authors present a multinational study on the application of deep learning algorithms for COVID-19 diagnosis against multiple lung conditions as controls.

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Autores principales: Stephanie A. Harmon, Thomas H. Sanford, Sheng Xu, Evrim B. Turkbey, Holger Roth, Ziyue Xu, Dong Yang, Andriy Myronenko, Victoria Anderson, Amel Amalou, Maxime Blain, Michael Kassin, Dilara Long, Nicole Varble, Stephanie M. Walker, Ulas Bagci, Anna Maria Ierardi, Elvira Stellato, Guido Giovanni Plensich, Giuseppe Franceschelli, Cristiano Girlando, Giovanni Irmici, Dominic Labella, Dima Hammoud, Ashkan Malayeri, Elizabeth Jones, Ronald M. Summers, Peter L. Choyke, Daguang Xu, Mona Flores, Kaku Tamura, Hirofumi Obinata, Hitoshi Mori, Francesca Patella, Maurizio Cariati, Gianpaolo Carrafiello, Peng An, Bradford J. Wood, Baris Turkbey
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Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/6f9c98cf760e4d96a63cb5040206bc04
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spelling oai:doaj.org-article:6f9c98cf760e4d96a63cb5040206bc042021-12-02T18:50:57ZArtificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets10.1038/s41467-020-17971-22041-1723https://doaj.org/article/6f9c98cf760e4d96a63cb5040206bc042020-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17971-2https://doaj.org/toc/2041-1723Chest CT is emerging as a valuable diagnostic tool for clinical management of COVID-19 associated lung disease. Here, the authors present a multinational study on the application of deep learning algorithms for COVID-19 diagnosis against multiple lung conditions as controls.Stephanie A. HarmonThomas H. SanfordSheng XuEvrim B. TurkbeyHolger RothZiyue XuDong YangAndriy MyronenkoVictoria AndersonAmel AmalouMaxime BlainMichael KassinDilara LongNicole VarbleStephanie M. WalkerUlas BagciAnna Maria IerardiElvira StellatoGuido Giovanni PlensichGiuseppe FranceschelliCristiano GirlandoGiovanni IrmiciDominic LabellaDima HammoudAshkan MalayeriElizabeth JonesRonald M. SummersPeter L. ChoykeDaguang XuMona FloresKaku TamuraHirofumi ObinataHitoshi MoriFrancesca PatellaMaurizio CariatiGianpaolo CarrafielloPeng AnBradford J. WoodBaris TurkbeyNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-7 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Stephanie A. Harmon
Thomas H. Sanford
Sheng Xu
Evrim B. Turkbey
Holger Roth
Ziyue Xu
Dong Yang
Andriy Myronenko
Victoria Anderson
Amel Amalou
Maxime Blain
Michael Kassin
Dilara Long
Nicole Varble
Stephanie M. Walker
Ulas Bagci
Anna Maria Ierardi
Elvira Stellato
Guido Giovanni Plensich
Giuseppe Franceschelli
Cristiano Girlando
Giovanni Irmici
Dominic Labella
Dima Hammoud
Ashkan Malayeri
Elizabeth Jones
Ronald M. Summers
Peter L. Choyke
Daguang Xu
Mona Flores
Kaku Tamura
Hirofumi Obinata
Hitoshi Mori
Francesca Patella
Maurizio Cariati
Gianpaolo Carrafiello
Peng An
Bradford J. Wood
Baris Turkbey
Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
description Chest CT is emerging as a valuable diagnostic tool for clinical management of COVID-19 associated lung disease. Here, the authors present a multinational study on the application of deep learning algorithms for COVID-19 diagnosis against multiple lung conditions as controls.
format article
author Stephanie A. Harmon
Thomas H. Sanford
Sheng Xu
Evrim B. Turkbey
Holger Roth
Ziyue Xu
Dong Yang
Andriy Myronenko
Victoria Anderson
Amel Amalou
Maxime Blain
Michael Kassin
Dilara Long
Nicole Varble
Stephanie M. Walker
Ulas Bagci
Anna Maria Ierardi
Elvira Stellato
Guido Giovanni Plensich
Giuseppe Franceschelli
Cristiano Girlando
Giovanni Irmici
Dominic Labella
Dima Hammoud
Ashkan Malayeri
Elizabeth Jones
Ronald M. Summers
Peter L. Choyke
Daguang Xu
Mona Flores
Kaku Tamura
Hirofumi Obinata
Hitoshi Mori
Francesca Patella
Maurizio Cariati
Gianpaolo Carrafiello
Peng An
Bradford J. Wood
Baris Turkbey
author_facet Stephanie A. Harmon
Thomas H. Sanford
Sheng Xu
Evrim B. Turkbey
Holger Roth
Ziyue Xu
Dong Yang
Andriy Myronenko
Victoria Anderson
Amel Amalou
Maxime Blain
Michael Kassin
Dilara Long
Nicole Varble
Stephanie M. Walker
Ulas Bagci
Anna Maria Ierardi
Elvira Stellato
Guido Giovanni Plensich
Giuseppe Franceschelli
Cristiano Girlando
Giovanni Irmici
Dominic Labella
Dima Hammoud
Ashkan Malayeri
Elizabeth Jones
Ronald M. Summers
Peter L. Choyke
Daguang Xu
Mona Flores
Kaku Tamura
Hirofumi Obinata
Hitoshi Mori
Francesca Patella
Maurizio Cariati
Gianpaolo Carrafiello
Peng An
Bradford J. Wood
Baris Turkbey
author_sort Stephanie A. Harmon
title Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
title_short Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
title_full Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
title_fullStr Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
title_full_unstemmed Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
title_sort artificial intelligence for the detection of covid-19 pneumonia on chest ct using multinational datasets
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/6f9c98cf760e4d96a63cb5040206bc04
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