AI-Assisted CT as a Clinical and Research Tool for COVID-19.
COVID-19
RT-PCR
artificial intelligence
computed tomography
diagnosis
Journal
Frontiers in artificial intelligence
ISSN: 2624-8212
Titre abrégé: Front Artif Intell
Pays: Switzerland
ID NLM: 101770551
Informations de publication
Date de publication:
2021
2021
Historique:
received:
10
08
2020
accepted:
19
05
2021
entrez:
6
8
2021
pubmed:
7
8
2021
medline:
7
8
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34355163
doi: 10.3389/frai.2021.590189
pii: 590189
pmc: PMC8329033
doi:
Types de publication
Journal Article
Langues
eng
Pagination
590189Informations de copyright
Copyright © 2021 Tse, Hovet, Ren, Barrett, Xu, Turkbey and Wood.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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