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Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT.

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TLDR
Radiologists in China and the United States distinguished COVID-19 from viral pneumonia on chest CT with high specificity but moderate sensitivity.
Abstract
Radiologists had high specificity but moderate sensitivity in differentiating coronavirus disease 2019 (COVID-19) from non-COVID-19 viral pneumonia at chest CT.

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Citations
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COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images.

TL;DR: COVID-Net is introduced, a deep convolutional neural network design tailored for the detection of COVID-19 cases from chest X-ray (CXR) images that is open source and available to the general public, and COVIDx, an open access benchmark dataset comprising of 13,975 CXR images across 13,870 patient patient cases.
Journal ArticleDOI

Automated detection of COVID-19 cases using deep neural networks with X-ray images.

TL;DR: A new model for automatic COVID-19 detection using raw chest X-ray images is presented and can be employed to assist radiologists in validating their initial screening, and can also be employed via cloud to immediately screen patients.
Journal ArticleDOI

Artificial Intelligence (AI) applications for COVID-19 pandemic.

TL;DR: The role of AI as a decisive technology to analyze, prepare us for prevention and fight with COVID-19 (Coronavirus) and other pandemics is reviewed and seven significant applications of AI for CO VID-19 pandemic are identified.
Journal ArticleDOI

CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19-Definition and Evaluation.

TL;DR: CO-RADS is a categorical assessment scheme for pulmonary involvement of CO VID-19 on non-enhanced chest CT providing very good performance for predicting COVID-19 in patients with moderate to severe symptoms and has a substantial interobserver agreement, especially for categories 1 and 5.
References
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Journal ArticleDOI

A Novel Coronavirus from Patients with Pneumonia in China, 2019.

TL;DR: Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily, which is the seventh member of the family of coronaviruses that infect humans.
Journal ArticleDOI

Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.

TL;DR: Chest CT has a high sensitivity for diagnosis of CO VID-19 and may be considered as a primary tool for the current COVID-19 detection in epidemic areas, as well as for patients with multiple RT-PCR assays.
Journal ArticleDOI

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR

TL;DR: In a series of 51 patients with chest CT and real-time polymerase chain reaction assay (RT-PCR) performed within 3 days, the sensitivity of CT for 2019 novel coronavirus infection was 98% and that ...
Journal ArticleDOI

Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19).

TL;DR: In patients recovering from coronavirus disease 2019 (without severe respiratory distress during the disease course), lung abnormalities on chest CT scans showed greatest severity approximately 10 days after initial onset of symptoms.
Journal ArticleDOI

CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV).

TL;DR: In this retrospective case series, chest CT scans of 21 symptomatic patients from China infected with the 2019 novel coronavirus were reviewed, with emphasis on identifying and characterizing the most common findings.
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The performance of radiologists in differentiating COVID-19 from non-COVID-19 viral pneumonia at chest CT was found to have high specificity but moderate sensitivity.