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Can deep learning classify stroke subtypes from chest X-rays?

EBioMedicine(2021)10.1016/j.ebiom.2021.103517Source: DataRank Database

Can deep learning classify stroke subtypes from chest X-rays? is a research paper published in EBioMedicine (2021). On theSindex it has a DataRank of 0.

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0DataRank · unranked

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 0.00)OA: goldTopics (22)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Michael T. Lu ORCID,Vineet K. Raghu ORCID

Live enrichment

PubMed:34364166 OpenAlex:https://openalex.org/W3187497794

National Institutes of Health

Grant: T32HL076136

American Heart Association

Grant: 18UNPG34030172

American Heart Association

Grant: 810966

National Academy of Medicine

Grant: 2000011734

FWCI

0.00

Citation Percentile

0.1%

goldLicense: cc-by

journalhttps://doi.org/10.1016/j.ebiom.2021.103517

publisherhttps://doi.org/10.1016/j.ebiom.2021.103517

publisherhttps://api.elsevier.com/content/article/PII:S2352396421003108?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2352396421003108?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34364166

Fields of Study

COVID-19 diagnosis using AIPhonocardiography and Auscultation TechniquesArtificial Intelligence in Healthcare and EducationDeep LearningHumansRadiographyStrokeX-Rays

MeSH Terms

Deep LearningHumansRadiographyX-RaysStroke

Keywords

Deep learningArtificial intelligenceScopusMedicineMachine learningRadiographyMEDLINERadiologyComputer science

Sustainable Development Goals

SDG 0: Good health and well-being