[HTML][HTML] Severe/critical COVID-19 early warning system based on machine learning algorithms using novel imaging scores
QY Li, ZY An, ZH Pan, ZZ Wang, YR Wang… - World Journal of …, 2023 - ncbi.nlm.nih.gov
BACKGROUND Early identification of severe/critical coronavirus disease 2019 (COVID-19)
is crucial for timely treatment and intervention. Chest computed tomography (CT) score has …
is crucial for timely treatment and intervention. Chest computed tomography (CT) score has …
[HTML][HTML] Prediction of short-term progression of COVID-19 pneumonia based on chest CT artificial intelligence: during the Omicron epidemic
X Lou, C Gao, L Wu, T Wu, L He… - BMC Infectious …, 2024 - bmcinfectdis.biomedcentral.com
The persistent progression of pneumonia is a critical determinant of adverse outcomes in
patients afflicted with COVID-19. This study aimed to predict personalized COVID-19 …
patients afflicted with COVID-19. This study aimed to predict personalized COVID-19 …
Prediction of COVID criticality score with laboratory, clinical and CT images using hybrid regression models
V Perumal, V Narayanan, SJS Rajasekar - Computer methods and …, 2021 - Elsevier
Abstract Background and Objective: Rapid and precise diagnosis of COVID-19 is very
critical in hotspot regions. The main aim of this proposed work is to investigate the baseline …
critical in hotspot regions. The main aim of this proposed work is to investigate the baseline …
Deep learning analysis in prediction of COVID-19 infection status using chest CT scan features
A Pourhoseingholi, M Vahedi, S Chaibakhsh… - … of Biomarkers, New …, 2021 - Springer
Background and aims Non-contrast chest computed tomography (CT) scanning is one of the
important tools for evaluating of lung lesions. The aim of this study was to use a deep …
important tools for evaluating of lung lesions. The aim of this study was to use a deep …
COVID-19 and artificial intelligence: an approach to forecast the severity of diagnosis
AL Udriștoiu, AE Ghenea, Ș Udriștoiu, M Neaga… - Life, 2021 - mdpi.com
(1) Background: The new SARS-COV-2 pandemic overwhelmed intensive care units,
clinicians, and radiologists, so the development of methods to forecast the diagnosis' …
clinicians, and radiologists, so the development of methods to forecast the diagnosis' …
Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data
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 …
patient management. However, it is challenging to predict when COVID-19 patients will …
[HTML][HTML] Early Identification of COVID-19 Progression to Its Severe Form Using Artificial Intelligence
L Yuan, J Chen, H Feng, J Lv, X Lu… - Iranian Journal of …, 2022 - brieflands.com
Background: Early prediction of disease progression in coronavirus disease 2019 (COVID-
19) patients can be helpful for personalized therapy, as well as the optimal allocation of …
19) patients can be helpful for personalized therapy, as well as the optimal allocation of …
[HTML][HTML] Development and validation of a deep learning-based model using computed tomography imaging for predicting disease severity of coronavirus disease …
L Xiao, P Li, F Sun, Y Zhang, C Xu, H Zhu… - … in bioengineering and …, 2020 - frontiersin.org
Objectives Coronavirus disease 2019 (COVID-19) is sweeping the globe and has resulted in
infections in millions of people. Patients with COVID-19 face a high fatality risk once …
infections in millions of people. Patients with COVID-19 face a high fatality risk once …
Long Short-Term Memory Based Framework for Longitudinal Assessment of COVID-19 Using CT Imaging and Laboratory Data
C Chen, R Li, H Shen, L Xia - Ieee Access, 2022 - ieeexplore.ieee.org
Automatic longitudinal assessment of the disease progression of coronavirus disease 2019
(COVID-19) is invaluable to ensure timely treatment for severe or critical patients. An artificial …
(COVID-19) is invaluable to ensure timely treatment for severe or critical patients. An artificial …
[HTML][HTML] Prediction of COVID-19 severity using chest computed tomography and laboratory measurements: evaluation using a machine learning approach
D Li, Q Zhang, Y Tan, X Feng, Y Yue… - JMIR Medical …, 2020 - medinform.jmir.org
Background: Most of the mortality resulting from COVID-19 has been associated with severe
disease. Effective treatment of severe cases remains a challenge due to the lack of early …
disease. Effective treatment of severe cases remains a challenge due to the lack of early …