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Artificial Intelligence in Prostate MRI : Addressing Current Limitations Through Emerging Technologies

Journal of Magnetic Resonance Imaging(2025)10.1002/jmri.70189Source: DataRank Database

Artificial Intelligence in Prostate MRI : Addressing Current Limitations Through Emerging Technologies is a research paper published in Journal of Magnetic Resonance Imaging (2025). On theSindex it has a DataRank of 0. It has been cited 4 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access4 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 3.84)OA: greenTopics (21)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)

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Authors (9)

Lavanya Umapathy ORCID,Bradley Gigax,Juan Andres Kochen Rossi ORCID,Angela Tong ORCID,Mary Bruno ORCID

Live enrichment

PubMed:41348934 OpenAlex:https://openalex.org/W4417056660

National Institute of Biomedical Imaging and Bioengineering

Grant: P41 EB017183

FWCI

3.84

Citation Percentile

0.9%

Citation Trend

2026

greenLicense: http://doi.wiley.com/10.1002/tdm_license_1.1

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC13022587/

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.70189

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/jmri.70189

journalhttps://doi.org/10.1002/jmri.70189

Fields of Study

Prostate Cancer Diagnosis and TreatmentAdvanced Radiotherapy TechniquesRadiomics and Machine Learning in Medical Imaging

MeSH Terms

Artificial IntelligenceHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleProstateProstatic NeoplasmsReproducibility of Results

Keywords

WorkflowTriageProstate cancerScalabilityProstateReliability (semiconductor)Quality (philosophy)Image qualityEmerging technologies