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