On the role of artificial intelligence in medical imaging of COVID-19

  1. Jannis Born
  2. David Beymer
  3. Deepta Rajan
  4. Adam Coy
  5. Vandana V. Mukherjee
  6. Matteo Manica
  7. Prasanth Prasanna
  8. Deddeh Ballah
  9. Michal Guindy
  10. Dorith Shaham
  11. Pallav L. Shah
  12. Emmanouil Karteris
  13. Jan L. Robertus
  14. Maria Gabrani
  15. Michal Rosen-Zvi

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Abstract

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  1. Version published to 10.1016/j.patter.2021.100269
  2. Version published to 10.1101/2020.09.02.20187096v3 on medRxiv
  3. ScreenIT

    SciScore for 10.1101/2020.09.02.20187096: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    BlindingThe meta-analysis was blindfolded to the number of citations.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Literature, indexed in PubMed and three preprint servers, namely, arXiv, bioRxiv and medRxiv, were queried.
    PubMed
    suggested: (PubMed, RRID:SCR_004846)
    arXiv
    suggested: (arXiv, RRID:SCR_006500)
    bioRxiv
    suggested: (bioRxiv, RRID:SCR_003933)
    For each paper, we also recorded the total number of citations indicated on Google Scholar as of 8.11.2020 and converted it to the monthly citation rate.
    Google Scholar
    suggested: (Google Scholar, RRID:SCR_008878)

    Results from OddPub: Thank you for sharing your code.

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  4. Version published to 10.1101/2020.09.02.20187096v2 on medRxiv
  5. Version published to 10.1101/2020.09.02.20187096v1 on medRxiv