AIMC Topic: COVID-19

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Analyzing the vast coronavirus literature with CoronaCentral.

Proceedings of the National Academy of Sciences of the United States of America
The SARS-CoV-2 pandemic has caused a surge in research exploring all aspects of the virus and its effects on human health. The overwhelming publication rate means that researchers are unable to keep abreast of the literature. To ameliorate this, we p...

Designing COVID-19 mortality predictions to advance clinical outcomes: Evidence from the Department of Veterans Affairs.

BMJ health & care informatics
Using administrative data on all Veterans who enter Department of Veterans Affairs (VA) medical centres throughout the USA, this paper uses artificial intelligence (AI) to predict mortality rates for patients with COVID-19 between March and August 20...

A Deep-Learning Diagnostic Support System for the Detection of COVID-19 Using Chest Radiographs: A Multireader Validation Study.

Investigative radiology
MATERIALS AND METHODS: Five publicly available databases comprising normal CXR, confirmed COVID-19 pneumonia cases, and other pneumonias were used. After the harmonization of the data, the training set included 7966 normal cases, 5451 with other pneu...

Mobile Remote Presence Robots for Medical Consultation and Social Connectedness.

Studies in health technology and informatics
We demonstrate that Mobile Remote Presence systems (MRP) aka telepresence robots can be successfully used in certain types of medical consultation such as consultation from a distance with residents of nursing homes. We argue that MRP afforded media ...

DIAG a Diagnostic Web Application Based on Lung CT Scan Images and Deep Learning.

Studies in health technology and informatics
Coronavirus disease is a pandemic that has infected millions of people around the world. Lung CT-scans are effective diagnostic tools, but radiologists can quickly become overwhelmed by the flow of infected patients. Therefore, automated image interp...

Deep Learning Methods to Predict Mortality in COVID-19 Patients: A Rapid Scoping Review.

Studies in health technology and informatics
The ongoing COVID-19 pandemic has become the most impactful pandemic of the past century. The SARS-CoV-2 virus has spread rapidly across the globe affecting and straining global health systems. More than 2 million people have died from COVID-19 (as o...

COVID-19 Image Segmentation Based on Deep Learning and Ensemble Learning.

Studies in health technology and informatics
Medical imaging offers great potential for COVID-19 diagnosis and monitoring. Our work introduces an automated pipeline to segment areas of COVID-19 infection in CT scans using deep convolutional neural networks. Furthermore, we evaluate the performa...

Digital holographic deep learning of red blood cells for field-portable, rapid COVID-19 screening.

Optics letters
Rapid screening of red blood cells for active infection of COVID-19 is presented using a compact and field-portable, 3D-printed shearing digital holographic microscope. Video holograms of thin blood smears are recorded, individual red blood cells are...

Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter study.

The Journal of the Acoustical Society of America
In the current pandemic, lung ultrasound (LUS) played a useful role in evaluating patients affected by COVID-19. However, LUS remains limited to the visual inspection of ultrasound data, thus negatively affecting the reliability and reproducibility o...

Development and validation of a machine learning model to predict mortality risk in patients with COVID-19.

BMJ health & care informatics
New York City quickly became an epicentre of the COVID-19 pandemic. An ability to triage patients was needed due to a sudden and massive increase in patients during the COVID-19 pandemic as healthcare providers incurred an exponential increase in wor...