AIMC Topic: COVID-19

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Greece used AI to curb COVID: what other nations can learn.

Nature Sep 1, 2021
Humans Artificial Intelligence Greece Travel Travel Medicine Big Data COVID-19 Testing Internationality COVID-19 Clinical Decision-Making
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Evaluation of the prediction of CoVID-19 recovered and unrecovered cases using symptoms and patient's meta data based on support vector machine, neural network, CHAID and QUEST Models.

European review for medical and pharmacological sciences Sep 1, 2021
OBJECTIVE: This paper aims to develop four prediction models for recovered and unrecovered cases using descriptive data of patients and symptoms of CoVID-19 patients. The developed prediction models aim to extract the important variables in predictin...
Support Vector Machine Metadata Symptom Assessment SARS-CoV-2 Models, Theoretical Humans Neural Networks, Computer COVID-19
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Adoption of Digital Pathology in Developing Countries: From Benefits to Challenges.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP Sep 1, 2021
Digital pathology and the use of artificial intelligence constitute undisputedly the future of modern pathology. The outcomes and benefits of the whole slide imaging are beyond the scope of traditional microscopy, which the pathologists were using fo...
COVID-19 SARS-CoV-2 Developing Countries Humans Artificial Intelligence Pandemics
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Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.

Proceedings of the National Academy of Sciences of the United States of America Aug 17, 2021
The real-time monitoring of reductions of economic activity by containment measures and its effect on the transmission of the coronavirus (COVID-19) is a critical unanswered question. We inferred 5,642 weekly activity anomalies from the meteorology-a...
Air Pollution Humans China Machine Learning Socioeconomic Factors COVID-19
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The application of artificial intelligence and data integration in COVID-19 studies: a scoping review.

Journal of the American Medical Informatics Association : JAMIA Aug 13, 2021
OBJECTIVE: To summarize how artificial intelligence (AI) is being applied in COVID-19 research and determine whether these AI applications integrated heterogenous data from different sources for modeling.
United States World Health Organization Databases as Topic National Institutes of Health (U.S.) Algorithms Biomedical Research Proteomics Artificial Intelligence COVID-19 Humans
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Auto informing COVID-19 detection result from x-ray/CT images based on deep learning.

The Review of scientific instruments Aug 1, 2021
It is no secret to all that the corona pandemic has caused a decline in all aspects of the world. Therefore, offering an accurate automatic diagnostic system is very important. This paper proposed an accurate COVID-19 system by testing various deep l...
Lung COVID-19 Humans Deep Learning Tomography, X-Ray Computed Models, Theoretical SARS-CoV-2
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Rapid Exclusion of COVID Infection With the Artificial Intelligence Electrocardiogram.

Mayo Clinic proceedings Aug 1, 2021
OBJECTIVE: To rapidly exclude severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using artificial intelligence applied to the electrocardiogram (ECG).
COVID-19 Humans Sensitivity and Specificity Electrocardiography Artificial Intelligence Case-Control Studies Predictive Value of Tests
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Automated Detection and Quantification of COVID-19 Airspace Disease on Chest Radiographs: A Novel Approach Achieving Expert Radiologist-Level Performance Using a Deep Convolutional Neural Network Trained on Digital Reconstructed Radiographs From Computed Tomography-Derived Ground Truth.

Investigative radiology Aug 1, 2021
OBJECTIVES: The aim of this study was to leverage volumetric quantification of airspace disease (AD) derived from a superior modality (computed tomography [CT]) serving as ground truth, projected onto digitally reconstructed radiographs (DRRs) to (1)...
Male Lung Deep Learning Retrospective Studies Tomography, X-Ray Computed Radiography, Thoracic Cohort Studies Image Processing, Computer-Assisted Radiologists Humans COVID-19
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Privacy-protecting, reliable response data discovery using COVID-19 patient observations.

Journal of the American Medical Informatics Association : JAMIA Jul 30, 2021
OBJECTIVE: To utilize, in an individual and institutional privacy-preserving manner, electronic health record (EHR) data from 202 hospitals by analyzing answers to COVID-19-related questions and posting these answers online.
Computer Communication Networks Male Registries Humans Common Data Elements Algorithms Logistic Models Confidentiality Natural Language Processing COVID-19 Electronic Health Records Information Storage and Retrieval Female
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A neuro-symbolic method for understanding free-text medical evidence.

Journal of the American Medical Informatics Association : JAMIA Jul 30, 2021
OBJECTIVE: We introduce Medical evidence Dependency (MD)-informed attention, a novel neuro-symbolic model for understanding free-text clinical trial publications with generalizability and interpretability.
Clinical Trials as Topic Humans Artificial Intelligence Software COVID-19 Natural Language Processing Data Mining Computer Simulation Models, Neurological Information Storage and Retrieval
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