AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study.
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| Title: | AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study. |
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| Authors: | Meng F; Department of Radiology, The First Hospital of Ji Lin University, No. 1 Xinmin Street, Changchun, 130012, China., Kottlors J; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Shahzad R; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.; Innovative Technology, Philips Healthcare, Aachen, Germany., Liu H; Department of Radiology, Wuhan No. 1 Hospital, Wuhan, China., Fervers P; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Jin Y; Department of Radiology, Ningbo Hwamei Hospital, University of Chinese Academy of Sciences, Wuhan, China., Rinneburger M; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Le D; Department of Radiology, The First Hospital of Ji Lin University, No. 1 Xinmin Street, Changchun, 130012, China., Weisthoff M; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Liu W; Department of Radiology, The First Hospital of Ji Lin University, No. 1 Xinmin Street, Changchun, 130012, China., Ni M; Department of Radiology, The First Hospital of Ji Lin University, No. 1 Xinmin Street, Changchun, 130012, China., Sun Y; Department of Radiology, The First Hospital of Ji Lin University, No. 1 Xinmin Street, Changchun, 130012, China., An L; Department of Radiology, The First Hospital of Ji Lin University, No. 1 Xinmin Street, Changchun, 130012, China., Huai X; Philips Healthcare, Beijing, China., Móré D; Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany., Giannakis A; Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany., Kaltenborn I; Institute for Diagnostic and Interventional Radiology, Frankfurt University Hospital, Frankfurt, Germany., Bucher A; Institute for Diagnostic and Interventional Radiology, Frankfurt University Hospital, Frankfurt, Germany., Maintz D; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany., Zhang L; Department of Radiology, The First Hospital of Ji Lin University, No. 1 Xinmin Street, Changchun, 130012, China., Thiele F; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.; Innovative Technology, Philips Healthcare, Aachen, Germany., Li M; Department of Radiology, The First Hospital of Ji Lin University, No. 1 Xinmin Street, Changchun, 130012, China., Perkuhn M; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.; Innovative Technology, Philips Healthcare, Aachen, Germany., Zhang H; Department of Radiology, The First Hospital of Ji Lin University, No. 1 Xinmin Street, Changchun, 130012, China. huimao@jlu.edu.cn., Persigehl T; Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany. |
| Source: | European radiology [Eur Radiol] 2023 Jun; Vol. 33 (6), pp. 4280-4291. Date of Electronic Publication: 2022 Dec 16. |
| Publication Type: | Multicenter Study; Journal Article |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-1084 |
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| DOI: | 10.1007/s00330-022-09335-9 |
