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

Abstract

There is compelling support for widening the role of computed tomography (CT) for COVID-19 in clinical and research scenarios. Reverse transcription polymerase chain reaction (RT-PCR) testing, the gold standard for COVID-19 diagnosis, has two potential weaknesses: the delay in obtaining results and the possibility of RT-PCR test kits running out when demand spikes or being unavailable altogether. This perspective article discusses the potential use of CT in conjunction with RT-PCR in hospitals lacking sufficient access to RT-PCR test kits. The precedent for this approach is discussed based on the use of CT for COVID-19 diagnosis and screening in the United Kingdom and China. The hurdles and challenges are presented, which need addressing prior to realization of the potential roles for CT artificial intelligence (AI). The potential roles include a more accurate clinical classification, characterization for research roles and mechanisms, and informing clinical trial response criteria as a surrogate for clinical outcomes.

Metadata

Item Type:	Article
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:	Published: 20 July 2021 Accepted: 19 May 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:	07 Dec 2024 00:22
Published Version:	https://doi.org/10.3389/frai.2021.590189
Status:	Published
Refereed:	Yes
Identification Number:	10.3389/frai.2021.590189
Related URLs:	http://www.scopus.com/inward/record.url?...
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:188621

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

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

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