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COVID-19 In Vitro Diagnostic Devices and Test Methods Database

Scientific literature on COVID-19 Test Methods and Devices

Title Detection Principle DOI Testing Method Category Peer Reviewed Navigate
Title: COVID-19: a meta-analysis of diagnostic test accuracy of commercial assays registered in Brazil Detection principle: Others DOI: 10.1016/j.bjid.2020.04.003 Testing method category: In_silico Peer reviewed: No Go to details
Title: Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks Detection principle: Imaging-CT scan DOI: 10.1007/s13246-020-00865-4 Testing method category: In_silico Peer reviewed: No Go to details
Title: COVID-19: Progress in diagnostics, therapy and vaccination Detection principle: Review DOI: 10.7150/thno.47987 Testing method category: Mixed Peer reviewed: No Go to details
Title: COVID19 antibody detection using lateral flow assay tests in a cohort of convalescent plasma donors Detection principle: ImmunoAssay-Antibody DOI: 10.1186/s13104-020-05212-0 Testing method category:   Peer reviewed: No Go to details
Title: CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection Detection principle: Imaging-CT scan DOI: 10.1109/ACCESS.2020.2994762 Testing method category: In_silico Peer reviewed: No Go to details
Title: COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings Detection principle: Imaging-CT scan DOI: 10.1007/s00330-020-07087-y Testing method category: In_silico Peer reviewed: No Go to details
Title: COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images Detection principle: Imaging-X-ray DOI: 10.1016/j.mehy.2020.109761 Testing method category: Peer reviewed: No Go to details
Title: COVIDier: A Deep-learning Tool For Coronaviruses Genome And Virulence Proteins Classification Detection principle: Others DOI: 10.1101/2020.05.03.075549 Testing method category: In_silico Peer reviewed: No Go to details
Title: CovidNLP: A Web Application for Distilling Systemic Implications of COVID-19 Pandemic with Natural Language Processing Detection principle: Others DOI: 10.1101/2020.04.25.20079129 Testing method category: In_silico Peer reviewed: No Go to details
Title: CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization Detection principle: Imaging-X-ray DOI: 10.1016/j.compbiomed.2020.103869 Testing method category:   Peer reviewed: No Go to details
Title: CRISPR-based COVID-19 surveillance using a genomically-comprehensive machine learning approach Detection principle: NucleicAcid-Others DOI: 10.1101/2020.02.26.967026 Testing method category: CRISPR Peer reviewed: No Go to details
Title: CRISPR-Cas12-based detection of SARS-CoV-2. Detection principle: NucleicAcid-Others DOI: 10.1038/s41587-020-0513-4 Testing method category: CRISPR Peer reviewed: No Go to details
Title: CRISPR/cas systems redefine nucleic acid detection: Principles and methods. Detection principle: review DOI: 10.1016/j.bios.2020.112430 Testing method category: CRISPR Peer reviewed: No Go to details
Title: Critical appraisal on salivary diagnostic for COVID-19 Detection principle: Others DOI: 10.1016/j.oraloncology.2020.104926 Testing method category: Other Peer reviewed: No Go to details
Title: Cross-Comparison of a Chemiluminescent Platform and a Commercial Receptor Binding Domain-Based ELISA Assay for Detecting SARS-CoV-2 IgG Detection principle: ImmunoAssay-Antibody DOI: 10.1093/jalm/jfaa133 Testing method category: Other Immuno assay Peer reviewed: No Go to details
Title: Cross-reaction of sera from COVID-19 patients with SARS-CoV assays Detection principle: ImmunoAssay-Antibody DOI: 10.1101/2020.03.17.20034454 Testing method category:   Peer reviewed: No Go to details
Title: CT differential diagnosis of COVID-19 and non-COVID-19 in symptomatic suspects: a practical scoring method Detection principle: Others DOI: 10.1186/s12890-020-1170-6 Testing method category: In_silico Peer reviewed: No Go to details
Title: CT in relation to RT-PCR in diagnosing COVID-19 in the Netherlands: a prospective study Detection principle: Others DOI: 10.1101/2020.04.22.20070441 Testing method category:   Peer reviewed: No Go to details
Title: CT in relation to rt-PCR in diagnosing covid-19 in the netherlands: A prospective study Detection principle: Imaging-CT scan DOI: 10.1371/journal.pone.0235844 Testing method category: Peer reviewed: No Go to details
Title: CT manifestations of coronavirus disease-2019: A retrospective analysis of 73 cases by disease severity Detection principle: Imaging-CT scan DOI: 10.1016/j.ejrad.2020.108941 Testing method category: Other Peer reviewed: No Go to details
Title: CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study Detection principle: Imaging-CT scan DOI: 10.1007/s11432-020-2849-3 Testing method category: Peer reviewed: No Go to details
Title: CT Scanning in Suspected Stroke or Head Trauma: Is it Worth Going the Extra Mile and Including the Chest to Screen for COVID-19 Infection? Detection principle: Imaging-CT scan DOI: 10.3174/ajnr.A6607 Testing method category: In_silico Peer reviewed: No Go to details
Title: Curbing the AI-induced enthusiasm in diagnosing COVID-19 on chest X-Rays: the present and the near-future Detection principle: Others DOI: 10.1101/2020.04.28.20082776 Testing method category: In_silico Peer reviewed: No Go to details
Title: Current and Future Point-of-Care Tests for Emerging and New Respiratory Viruses and Future Perspectives Detection principle: Review DOI: 10.3389/fcimb.2020.00181 Testing method category: In_silico Peer reviewed: No Go to details
Title: Current and Perspective Diagnostic Techniques for COVID-19 Detection principle: Others DOI: 10.1021/acsinfecdis.0c00365 Testing method category: Mixed Peer reviewed: No Go to details

The database contains available information from scientific literature that is being updated periodically. Please note that the provided information (as retrieved from analysed papers) is provided only for devices commercially available with CE-IVD mark. Acknowledgements