AIMC Topic: COVID-19

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An original deep learning model using limited data for COVID-19 discrimination: A multicenter study.

Medical physics Apr 18, 2022
OBJECTIVES: Artificial intelligence (AI) has been proved to be a highly efficient tool for COVID-19 diagnosis, but the large data size and heavy label force required for algorithm development and the poor generalizability of AI algorithms, to some ex...
SARS-CoV-2 Deep Learning Pneumonia COVID-19 Testing COVID-19 Humans Retrospective Studies Artificial Intelligence
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TSRNet: Diagnosis of COVID-19 based on self-supervised learning and hybrid ensemble model.

Computers in biology and medicine Apr 16, 2022
BACKGROUND: As of Feb 27, 2022, coronavirus (COVID-19) has caused 434,888,591 infections and 5,958,849 deaths worldwide, dealing a severe blow to the economies and cultures of most countries around the world. As the virus has mutated, its infectious ...
Humans Neural Networks, Computer Deep Learning Supervised Machine Learning Pandemics COVID-19
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Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics.

IEEE journal of biomedical and health informatics Apr 14, 2022
Each year there are nearly 57 million deaths worldwide, with over 2.7 million in the United States. Timely, accurate and complete death reporting is critical for public health, especially during the COVID-19 pandemic, as institutions and government a...
Artificial Intelligence Pandemics Humans United States Public Health Informatics COVID-19 Public Health
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COVID Detection From Chest X-Ray Images Using Multi-Scale Attention.

IEEE journal of biomedical and health informatics Apr 14, 2022
Deep learning based methods have shown great promise in achieving accurate automatic detection of Coronavirus Disease (covid) - 19 from Chest X-Ray (cxr) images.However, incorporating explainability in these solutions remains relatively less explored...
COVID-19 Algorithms Humans Neural Networks, Computer SARS-CoV-2 Attention Pneumonia Deep Learning X-Rays
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Deep learning of chest X-rays can predict mechanical ventilation outcome in ICU-admitted COVID-19 patients.

Scientific reports Apr 13, 2022
The COVID-19 pandemic repeatedly overwhelms healthcare systems capacity and forced the development and implementation of triage guidelines in ICU for scarce resources (e.g. mechanical ventilation). These guidelines were often based on known risk fact...
Humans Pandemics X-Rays Respiration, Artificial Deep Learning COVID-19 Intensive Care Units
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Diagnosis of Lumbar Spondylolisthesis Using Optimized Pretrained CNN Models.

Computational intelligence and neuroscience Apr 13, 2022
Spondylolisthesis refers to the slippage of one vertebral body over the adjacent one. It is a chronic condition that requires early detection to prevent unpleasant surgery. The paper presents an optimized deep learning model for detecting spondylolis...
Deep Learning Humans Spondylolisthesis COVID-19
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Detection of COVID-19 from CT and Chest X-ray Images Using Deep Learning Models.

Annals of biomedical engineering Apr 12, 2022
Coronavirus 2019 (COVID-19) is a highly transmissible and pathogenic virus caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2), which first appeared in Wuhan, China, and has since spread in the whole world. This pathology has caused a ma...
X-Rays Humans SARS-CoV-2 Deep Learning COVID-19 Tomography, X-Ray Computed Artificial Intelligence
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COV-DLS: Prediction of COVID-19 from X-Rays Using Enhanced Deep Transfer Learning Techniques.

Journal of healthcare engineering Apr 11, 2022
In this paper, modifications in neoteric architectures such as VGG16, VGG19, ResNet50, and InceptionV3 are proposed for the classification of COVID-19 using chest X-rays. The proposed architectures termed "COV-DLS" consist of two phases: heading mode...
Radiography X-Rays Humans SARS-CoV-2 COVID-19 Deep Learning
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Deep Learning-Based Automatic CT Quantification of Coronavirus Disease 2019 Pneumonia: An International Collaborative Study.

Journal of computer assisted tomography Apr 8, 2022
OBJECTIVE: We aimed to develop and validate the automatic quantification of coronavirus disease 2019 (COVID-19) pneumonia on computed tomography (CT) images.
Pneumonia COVID-19 Retrospective Studies Tomography, X-Ray Computed Deep Learning Humans
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External COVID-19 Deep Learning Model Validation on ACR AI-LAB: It's a Brave New World.

Journal of the American College of Radiology : JACR Apr 8, 2022
PURPOSE: Deploying external artificial intelligence (AI) models locally can be logistically challenging. We aimed to use the ACR AI-LAB software platform for local testing of a chest radiograph (CXR) algorithm for COVID-19 lung disease severity asses...
Deep Learning Edema COVID-19 Tomography, X-Ray Computed Humans Artificial Intelligence
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