Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data
Name
330_2021_8049_ReferencePDF.pdf
Size
917.03 KB
Format
Unknown
Checksum (MD5)
176ef12388411ce6fc0e7e8978e632aa
Author(s)
Wang, Robin
Jiao, Zhicheng
Yang, Li
Choi, Ji W.
Xiong, Zeng
Halsey, Kasey
Tran, Thi M. L.
Pan, Ian
Collins, Scott A.
Feng, Xue
Date Issued
July 2021
Journal
European Radiology
Publisher
Springer Berlin Heidelberg
Citation
Wang, Robin, Jiao, Zhicheng, Yang, Li, Choi, Ji W., Xiong, Zeng et al. 2021. "Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data."
Version
Author's final manuscript
Abstract
Objectives
Early recognition of coronavirus disease 2019 (COVID-19) severity can guide patient management. However, it is challenging to predict when COVID-19 patients will progress to critical illness. This study aimed to develop an artificial intelligence system to predict future deterioration to critical illness in COVID-19 patients.
Methods
An artificial intelligence (AI) system in a time-to-event analysis framework was developed to integrate chest CT and clinical data for risk prediction of future deterioration to critical illness in patients with COVID-19.
Results
A multi-institutional international cohort of 1,051 patients with RT-PCR confirmed COVID-19 and chest CT was included in this study. Of them, 282 patients developed critical illness, which was defined as requiring ICU admission and/or mechanical ventilation and/or reaching death during their hospital stay. The AI system achieved a C-index of 0.80 for predicting individual COVID-19 patients’ to critical illness. The AI system successfully stratified the patients into high-risk and low-risk groups with distinct progression risks (p < 0.0001).
Conclusions
Using CT imaging and clinical data, the AI system successfully predicted time to critical illness for individual patients and identified patients with high risk. AI has the potential to accurately triage patients and facilitate personalized treatment.
Key Point
• AI system can predict time to critical illness for patients with COVID-19 by using CT imaging and clinical data.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/s00330-021-08049-8
