πŸ† Finalist β€” NIH Data Sharing Index (β€œS-Index”) Challenge
Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand β€” network effects sharpen as coverage grows.

Transparency in Radiology and Nuclear Medicine AI Research: Realistic Expectation or Pipedream?

Academic Radiology(2023)10.1016/j.acra.2023.07.026Source: DataRank Database

Transparency in Radiology and Nuclear Medicine AI Research: Realistic Expectation or Pipedream? is a research paper published in Academic Radiology (2023). On theSindex it has a DataRank of 0. It has been cited 1 time.

N/A
0DataRank Β· unranked

Scored on demand from live citation data

1 citations
Free full text
Cite:

DataRank reads this dataset's downstream impact straight off the citation graph β€” no black box, no proprietary weighting. How is this computed?

β€ΊMethodology & internals
datarank_citation_only_1hop_v6Β· scope data_onlyMethodology
Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring
Enrichment:Funding (2 grants)Impact (FWCI 0.03)OA: closedTopics (18)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)
Findable (1/2)
  • Has DOI
Accessible (0/2)
    Interoperable (0/2)
      Reusable (0/3)

        FAIR checklist signals are shown for context only and do not affect DataRank scoring.

        Run a calibrated FAIR evaluation for this paper β†’

        We only score data papers we can read in full β€” never from an abstract alone.

        Live enrichment

        NIH Clinical Center

        National Institutes of Health

        FWCI

        0.03

        Citation Percentile

        0.4%

        Citation Trend

        2024

        Fields of Study

        Artificial Intelligence in Healthcare and EducationCOVID-19 diagnosis using AIRadiology practices and education

        MeSH Terms

        HumansMotivationNuclear MedicineRadiographyRadionuclide Imaging

        Keywords

        Transparency (behavior)Adversarial systemField (mathematics)Generative grammarComputer scienceData scienceArtificial intelligenceRadiologyMedicineComputer security