Nature Communications (Aug 2020)
Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
- 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
Affiliations
- Stephanie A. Harmon
- Molecular Imaging Branch, National Cancer Institute, National Institutes of Health
- Thomas H. Sanford
- State University of New York-Upstate Medical Center
- Sheng Xu
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health
- Evrim B. Turkbey
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health
- Holger Roth
- NVIDIA Corporation
- Ziyue Xu
- NVIDIA Corporation
- Dong Yang
- NVIDIA Corporation
- Andriy Myronenko
- NVIDIA Corporation
- Victoria Anderson
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health
- Amel Amalou
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health
- Maxime Blain
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health
- Michael Kassin
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health
- Dilara Long
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health
- Nicole Varble
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health
- Stephanie M. Walker
- Molecular Imaging Branch, National Cancer Institute, National Institutes of Health
- Ulas Bagci
- Center for Research in Computer Vision, University of Central Florida
- Anna Maria Ierardi
- Department of Radiology Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico Milano
- Elvira Stellato
- Department of Radiology Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico Milano
- Guido Giovanni Plensich
- Department of Radiology Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico Milano
- Giuseppe Franceschelli
- Diagnostic and Interventional Radiology Service, ASST Santi Paolo e Carlo, San Paolo Hospital
- Cristiano Girlando
- Postgraduation School in Radiodiagnostics, Università Degli Studi di Milano
- Giovanni Irmici
- Postgraduation School in Radiodiagnostics, Università Degli Studi di Milano
- Dominic Labella
- State University of New York-Upstate Medical Center
- Dima Hammoud
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health
- Ashkan Malayeri
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health
- Elizabeth Jones
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health
- Ronald M. Summers
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health
- Peter L. Choyke
- Molecular Imaging Branch, National Cancer Institute, National Institutes of Health
- Daguang Xu
- NVIDIA Corporation
- Mona Flores
- NVIDIA Corporation
- Kaku Tamura
- Self-Defense Forces Central Hospital
- Hirofumi Obinata
- Self-Defense Forces Central Hospital
- Hitoshi Mori
- Self-Defense Forces Central Hospital
- Francesca Patella
- Diagnostic and Interventional Radiology Service, ASST Santi Paolo e Carlo, San Paolo Hospital
- Maurizio Cariati
- Diagnostic and Interventional Radiology Service, ASST Santi Paolo e Carlo, San Paolo Hospital
- Gianpaolo Carrafiello
- Department of Radiology Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico Milano
- Peng An
- Department of Radiology, Xiangyang NO.1 People’s Hospital Affiliated to Hubei University of Medicine Xiangyang
- Bradford J. Wood
- Center for Interventional Oncology, Radiology and Imaging Sciences, NIH Clinical Center and National Cancer Institute, Center for Cancer Research, National Institutes of Health
- Baris Turkbey
- Molecular Imaging Branch, National Cancer Institute, National Institutes of Health
- DOI
- https://doi.org/10.1038/s41467-020-17971-2
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 7
Abstract
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.
