AI-Assisted CT as a Clinical and Research Tool for COVID-19

Tse, Zion Tsz Ho, Hovet, Sierra, Ren, Hongliang et al. (4 more authors) (2021) AI-Assisted CT as a Clinical and Research Tool for COVID-19. Frontiers in Artificial Intelligence. 590189. ISSN 2624-8212

Abstract

Metadata

Authors/Creators:
  • Tse, Zion Tsz Ho (zt745@york.ac.uk)
  • Hovet, Sierra
  • Ren, Hongliang
  • Barrett, Tristan
  • Xu, Sheng
  • Turkbey, Baris
  • Wood, Bradford J.
Copyright, Publisher and Additional Information: Funding Information: This study was supported in part by the Royal Society Wolfson Fellowship, the National Institutes of Health (NIH) Bench-to-Bedside Award, the NIH Center for Interventional Oncology Grant, the National Science Foundation (NSF) I-Corps Team Grant (1617340), NSF REU site program 1359095, the UGA-AU Inter-Institutional Seed Funding, the American Society for Quality Dr. Richard J. Schlesinger Grant, the PHS Grant UL1TR000454 from the Clinical and Translational Science Award Program, the NIH National Center for Advancing Translational Sciences, the NIH Center for Interventional Oncology (Grant ZID# BC011242 and CL040015), the Intramural Research Program of the National Institutes of Health, and the Intramural Targeted Anti-COVID (ITAC) Program of the National Institute of Allergy and Infectious Diseases. Publisher Copyright: © Copyright © 2021 Tse, Hovet, Ren, Barrett, Xu, Turkbey and Wood.
Keywords: artificial intelligence, computed tomography, COVID-19, diagnosis, RT-PCR
Dates:
  • Accepted: 19 May 2021
  • Published: 20 July 2021
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 01 Jul 2022 08:40
Last Modified: 04 Feb 2024 01:18
Published Version: https://doi.org/10.3389/frai.2021.590189
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.3389/frai.2021.590189
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Description: AI-Assisted CT as a Clinical and Research Tool for COVID-19

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