AIMC Topic: COVID-19

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A Physics-Informed Neural Network approach for compartmental epidemiological models.

PLoS computational biology Sep 5, 2024
Compartmental models provide simple and efficient tools to analyze the relevant transmission processes during an outbreak, to produce short-term forecasts or transmission scenarios, and to assess the impact of vaccination campaigns. However, their ca...
Neural Networks, Computer COVID-19 Algorithms Humans Computational Biology Epidemics Epidemiological Models Computer Simulation SARS-CoV-2
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Internal Medicine Year in Review 2023.

Internal medicine (Tokyo, Japan) Sep 4, 2024
The year 2023 marked a significant change for Internal Medicine, as the number of submissions related to the novel coronavirus infection (COVID-19) declined significantly and interest shifted to other disease fields and research areas. Our journal pu...
Internal Medicine Humans Artificial Intelligence Machine Learning COVID-19 SARS-CoV-2 Periodicals as Topic
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Harnessing AI for precision tonsillitis diagnosis: a revolutionary approach in endoscopic analysis.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Sep 4, 2024
BACKGROUND: Diagnosing and treating tonsillitis pose no significant challenge for otolaryngologists; however, it can increase the infection risk for healthcare professionals amidst the coronavirus pandemic. In recent years, with the advancement of ar...
Neural Networks, Computer Artificial Intelligence COVID-19 Humans Endoscopy Male Algorithms Tonsillitis Female Adult
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Bridging gaps: a neural network approach for cross-species scRNA-seq analysis in COVID-19.

EBioMedicine Sep 4, 2024
SARS-CoV-2 Animals Single-Cell Analysis Neural Networks, Computer COVID-19 Single-Cell Gene Expression Analysis Sequence Analysis, RNA Humans
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Integrated epigenomic exposure signature discovery.

Epigenomics Sep 3, 2024
The epigenome influences gene regulation and phenotypes in response to exposures. Epigenome assessment can determine exposure history aiding in diagnosis. Here we developed and implemented a machine learning algorithm, the exposure signature discove...
Bacillus anthracis Influenza A Virus, H3N2 Subtype Influenza, Human Epigenome Transcriptome COVID-19 Epigenesis, Genetic HIV Infections Algorithms Humans Epigenomics SARS-CoV-2 Machine Learning Staphylococcus aureus
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Artificial intelligence and telemedicine in epilepsy and EEG: A narrative review.

Seizure Aug 30, 2024
The emergence of telemedicine and artificial intelligence (AI) has set the stage for a possible revolution in the future of medicine and neurology including the diagnosis and management of epilepsy. Telemedicine, with its proven efficacy during the C...
Humans Electroencephalography Artificial Intelligence Epilepsy Machine Learning Telemedicine COVID-19
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Special supplement issue on quality assurance and enrichment of biological and biomedical ontologies and terminologies.

BMC medical informatics and decision making Aug 30, 2024
Ontologies and terminologies serve as the backbone of knowledge representation in biomedical domains, facilitating data integration, interoperability, and semantic understanding across diverse applications. However, the quality assurance and enrichme...
Electronic Health Records Biological Ontologies Vocabulary, Controlled Humans COVID-19
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A deep convolutional neural network approach using medical image classification.

BMC medical informatics and decision making Aug 29, 2024
The epidemic diseases such as COVID-19 are rapidly spreading all around the world. The diagnosis of epidemic at initial stage is of high importance to provide medical care to and recovery of infected people as well as protecting the uninfected popula...
Neural Networks, Computer COVID-19 Tomography, X-Ray Computed Deep Learning Respiratory Sounds Humans
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Leveraging artificial intelligence to identify the psychological factors associated with conspiracy theory beliefs online.

Nature communications Aug 29, 2024
Given the profound societal impact of conspiracy theories, probing the psychological factors associated with their spread is paramount. Most research lacks large-scale behavioral outcomes, leaving factors related to actual online support for conspira...
Female Politics SARS-CoV-2 Machine Learning Young Adult Humans Social Media Adult Pandemics Self Report Artificial Intelligence Male COVID-19 Middle Aged
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Deep Learning-Based System Combining Chest X-Ray and Computerized Tomography Images for COVID-19 Diagnosis.

British journal of hospital medicine (London, England : 2005) Aug 27, 2024
The coronavirus disease 2019 (COVID-19) pandemic has highlighted the need for accurate and efficient diagnostic methods. This study aims to improve COVID-19 detection by integrating chest X-ray (CXR) and computerized tomography (CT) images using dee...
Deep Learning Radiography, Thoracic Tomography, X-Ray Computed SARS-CoV-2 Humans Neural Networks, Computer COVID-19
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