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SARS-CoV-2
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Deep Learning Methods to Predict Mortality in COVID-19 Patients: A Rapid Scoping Review.
Studies in health technology and informatics
May 27, 2021
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
May 27, 2021
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
May 15, 2021
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
May 1, 2021
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
May 1, 2021
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...
Progress in robotics for combating infectious diseases.
Science robotics
Mar 31, 2021
The world was unprepared for the COVID-19 pandemic, and recovery is likely to be a long process. Robots have long been heralded to take on dangerous, dull, and dirty jobs, often in environments that are unsuitable for humans. Could robots be used to ...
The clinical classification of patients with COVID-19 pneumonia was predicted by Radiomics using chest CT.
Medicine
Mar 26, 2021
In 2020, the new type of coronal pneumonitis became a pandemic in the world, and has firstly been reported in Wuhan, China. Chest CT is a vital component in the diagnostic algorithm for patients with suspected or confirmed COVID-19 infection. Therefo...
Using artificial intelligence to improve COVID-19 rapid diagnostic test result interpretation.
Proceedings of the National Academy of Sciences of the United States of America
Mar 23, 2021
Serological rapid diagnostic tests (RDTs) are widely used across pathologies, often providing users a simple, binary result (positive or negative) in as little as 5 to 20 min. Since the beginning of the COVID-19 pandemic, new RDTs for identifying SAR...
Robots as intelligent assistants to face COVID-19 pandemic.
Briefings in bioinformatics
Mar 22, 2021
MOTIVATION: The epidemic at the beginning of this year, due to a new virus in the coronavirus family, is causing many deaths and is bringing the world economy to its knees. Moreover, situations of this kind are historically cyclical. The symptoms and...
Machine Learning Prediction of SARS-CoV-2 Polymerase Chain Reaction Results with Routine Blood Tests.
Laboratory medicine
Mar 15, 2021
OBJECTIVE: The diagnosis of COVID-19 is based on the detection of SARS-CoV-2 in respiratory secretions, blood, or stool. Currently, reverse transcription polymerase chain reaction (RT-PCR) is the most commonly used method to test for SARS-CoV-2.
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