Development and evaluation of an artificial intelligence system for COVID-19 diagnosis

Cheng Jin; Weixiang Chen; Yukun Cao; Zhanwei Xu; Zimeng Tan; Xin Zhang; Lei Deng; Chuansheng Zheng; Jie Zhou; Heshui Shi; Jianjiang Feng

doi:10.1038/s41467-020-18685-1

Nature Communications (Oct 2020)

Development and evaluation of an artificial intelligence system for COVID-19 diagnosis

Cheng Jin,
Weixiang Chen,
Yukun Cao,
Zhanwei Xu,
Zimeng Tan,
Xin Zhang,
Lei Deng,
Chuansheng Zheng,
Jie Zhou,
Heshui Shi,
Jianjiang Feng

Affiliations

Cheng Jin: Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University
Weixiang Chen: Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University
Yukun Cao: Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Zhanwei Xu: Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University
Zimeng Tan: Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University
Xin Zhang: Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Lei Deng: Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University
Chuansheng Zheng: Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Jie Zhou: Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University
Heshui Shi: Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Jianjiang Feng: Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University

DOI: https://doi.org/10.1038/s41467-020-18685-1
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 14

Abstract

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In some contexts, rapid detection of COVID-19 from CT scans can be crucial for optimal patient management. Here, the authors present a Deep Learning system for this task with multi-center data, human reader comparison and age stratified results.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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