The role of imaging in the detection and management of COVID-19: a review
Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) is spreading rapidly around the world, resulting in a massive …
coronavirus 2 (SARS-CoV-2) is spreading rapidly around the world, resulting in a massive …
Deep learning with radiomics for disease diagnosis and treatment: challenges and potential
The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly developing and …
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly developing and …
[HTML][HTML] Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: a multicentre study
Purpose To develop a deep learning-based method to assist radiologists to fast and
accurately identify patients with COVID-19 by CT images. Methods We retrospectively …
accurately identify patients with COVID-19 by CT images. Methods We retrospectively …
[HTML][HTML] Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients
Objective To develop prognostic models for survival (alive or deceased status) prediction of
COVID-19 patients using clinical data (demographics and history, laboratory tests, visual …
COVID-19 patients using clinical data (demographics and history, laboratory tests, visual …
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients
Background We aimed to analyze the prognostic power of CT-based radiomics models
using data of 14,339 COVID-19 patients. Methods Whole lung segmentations were …
using data of 14,339 COVID-19 patients. Methods Whole lung segmentations were …
Artificial intelligence-driven assessment of radiological images for COVID-19
Y Bouchareb, PM Khaniabadi, F Al Kindi… - Computers in biology …, 2021 - Elsevier
Artificial Intelligence (AI) methods have significant potential for diagnosis and prognosis of
COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients …
COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients …
CT quantification and machine-learning models for assessment of disease severity and prognosis of COVID-19 patients
Objective This study was to investigate the CT quantification of COVID-19 pneumonia and its
impacts on the assessment of disease severity and the prediction of clinical outcomes in the …
impacts on the assessment of disease severity and the prediction of clinical outcomes in the …
A deep learning prognosis model help alert for COVID-19 patients at high-risk of death: a multi-center study
Since its outbreak in December 2019, the persistent coronavirus disease (COVID-19)
became a global health emergency. It is imperative to develop a prognostic tool to identify …
became a global health emergency. It is imperative to develop a prognostic tool to identify …
[HTML][HTML] A comprehensive overview of the COVID-19 literature: machine learning–based bibliometric analysis
Background Shortly after the emergence of COVID-19, researchers rapidly mobilized to
study numerous aspects of the disease such as its evolution, clinical manifestations, effects …
study numerous aspects of the disease such as its evolution, clinical manifestations, effects …
Multi-task multi-modality SVM for early COVID-19 diagnosis using chest CT data
In the early diagnosis of the Coronavirus disease (COVID-19), it is of great importance for
either distinguishing severe cases from mild cases or predicting the conversion time that …
either distinguishing severe cases from mild cases or predicting the conversion time that …