AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study.

Journal: European radiology
PMID:

Abstract

OBJECTIVES: Differentiation between COVID-19 and community-acquired pneumonia (CAP) in computed tomography (CT) is a task that can be performed by human radiologists and artificial intelligence (AI). The present study aims to (1) develop an AI algorithm for differentiating COVID-19 from CAP and (2) evaluate its performance. (3) Evaluate the benefit of using the AI result as assistance for radiological diagnosis and the impact on relevant parameters such as accuracy of the diagnosis, diagnostic time, and confidence.

Authors

  • Fanyang Meng
  • Jonathan Kottlors
    Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  • Rahil Shahzad
    Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden PO Box 9600, 2300 RC, The Netherlands. Electronic address: r.shahzad@lumc.nl.
  • Haifeng Liu
    IBM Research China, Beijing, China.
  • Philipp Fervers
    Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  • Yinhua Jin
    HwaMei Hospital, University of Chinese Academy of Sciences, 41 Xibei Street, Ningbo, 315010, China.
  • Miriam Rinneburger
    Institute for Diagnostic and Interventional Radiology, University Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
  • Dou Le
    Department of Radiology, The First Hospital of Ji Lin University, No. 1 Xinmin Street, Changchun, 130012, China.
  • Mathilda Weisthoff
    Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
  • Wenyun Liu
    Department of Radiology, The First Hospital of Ji Lin University, No. 1 Xinmin Street, Changchun, 130012, China.
  • Mengzhe Ni
    Department of Radiology, The First Hospital of Ji Lin University, No. 1 Xinmin Street, Changchun, 130012, China.
  • Ye Sun
    Department of Radiology, The First Hospital of Ji Lin University, No. 1 Xinmin Street, Changchun, 130012, China.
  • Liying An
    Department of Radiology, The First Hospital of Ji Lin University, No. 1 Xinmin Street, Changchun, 130012, China.
  • Xiaochen Huai
    Philips Healthcare, Beijing, China.
  • Dorottya Móré
    Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Athanasios Giannakis
    Department of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Isabel Kaltenborn
    Institute for Diagnostic and Interventional Radiology, Frankfurt University Hospital, Frankfurt, Germany.
  • Andreas Bucher
    Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany.
  • David Maintz
    Institute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
  • Lei Zhang
    Division of Gastroenterology, Union Hospital, Tongji Medical College Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Frank Thiele
    Institute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
  • Mingyang Li
    Department of Industrial and Management Systems Engineering, The University of South Florida, Tampa, FL, United States.
  • Michael Perkuhn
    Institute for Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany.
  • Huimao Zhang
    Department of Radiology, The First Hospital of Jilin University, No.1, Xinmin Street, Changchun 130021, China (Y.W., M.L., Z.M., J.W., K.H., Q.Y., L.Z., L.M., H.Z.). Electronic address: huimao@jlu.edu.cn.
  • Thorsten Persigehl
    Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.