Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Fostering transparent medical image AI via an image-text foundation model grounded in medical literature

medRxiv(2023)10.1101/2023.06.07.23291119Source: DataRank Database

Fostering transparent medical image AI via an image-text foundation model grounded in medical literature is a research paper published in medRxiv (2023). On theSindex it has a DataRank of 0. It has been cited 14 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access14 citations

Download PDF

Cite:

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

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: greenTopics (19)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

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 →

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

Authors (6)

Soham Gadgil ORCID,Alex J. DeGrave ORCID,Zhuo Ran Cai ORCID,Roxana Daneshjou ORCID,Su-In Lee ORCID

Live enrichment

PubMed:37398017 OpenAlex:https://openalex.org/W4380303125

National Institutes of Health

Grant: 5R01AG061132-05

Interpretable Machine Learning to Identify Alzheimer's Disease Therapeutic Targets

National Institutes of Health

Grant: 5R35GM128638-05

Opening the Black Box of Machine Learning Models

National Science Foundation

Grant: 1759487

Collaborative Research: ABI Innovation: Interpretable Machine Learning to Identify Molecular Markers for Complex Phenotypes

National Institutes of Health

Grant: 5T32AR007422-22

Postgraduate Training Program in Cutaneous Biology

greenLicense: cc-by-nc

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2023/06/12/2023.06.07.23291119.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.06.07.23291119

repositoryhttps://doi.org/10.1101/2023.06.07.23291119

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37398017

Fields of Study

AI in cancer detectionRadiomics and Machine Learning in Medical ImagingBiomedical Text Mining and Ontologies0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Software deploymentFoundation (evidence)Pipeline (software)TrustworthinessComputer scienceImage (mathematics)Artificial intelligenceData scienceInformation retrievalComputer securitySoftware engineeringHistoryProgramming languageArticle