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Bone Metastasis Detection at CT with Deep Learning Models Trained Using Multicenter, Multimodal Reference Standards: Development and Evaluation

Radiology: Artificial Intelligence(2026)10.1148/ryai.250283Source: DataRank Database

Bone Metastasis Detection at CT with Deep Learning Models Trained Using Multicenter, Multimodal Reference Standards: Development and Evaluation is a research paper published in Radiology: Artificial Intelligence (2026). On theSindex it has a DataRank of 0.104. It has been cited 1 time.

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0.104DataRank · unranked

Scored on demand from live citation data

1 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 9.80)OA: bronzeTopics (43)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)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.104

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (9)

Dong Hyun Kim ORCID,Hee-Dong Chae ORCID,Eugene Lee ORCID,Ji Hee Kang ORCID,Ji Hyun Lee ORCID

Live enrichment

PubMed:41879561 OpenAlex:https://openalex.org/W7140308245

National Research Foundation of Korea

Grant: 2019R1C1C100904413

FWCI

9.80

Citation Percentile

1.0%

Citation Trend

2026

bronze

journalhttps://pubs.rsna.org/doi/pdf/10.1148/ryai.250283

publisherhttps://pubs.rsna.org/doi/pdf/10.1148/ryai.250283

publisherhttp://pubs.rsna.org/doi/pdf/10.1148/ryai.250283

journalhttps://doi.org/10.1148/ryai.250283

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41879561

Fields of Study

Management of metastatic bone diseaseRadiomics and Machine Learning in Medical ImagingMedical Imaging Techniques and ApplicationsHumansDeep LearningBone NeoplasmsRetrospective StudiesMaleTomography, X-Ray ComputedFemaleMiddle AgedReference StandardsAged

MeSH Terms

Deep LearningAgedBone NeoplasmsFemaleHumansMaleMiddle AgedReference StandardsRetrospective StudiesTomography, X-Ray Computed

Keywords

Deep learningReceiver operating characteristicRecallCategorizationBone metastasisDiagnostic accuracyMetastasisComparative studiesSegmentationThoraxCTMetastasesTechnology AssessmentSupervised LearningSkeletal-appendicularAbdomen/giBody CtConvolutional Neural Network (Cnn)Multimodal Reference StandardsSkeletal/axial

Bone Metastasis Detection at CT with Deep Learning Models Trained Using Multicenter, Multimodal Reference Standards: Development and Evaluation

FAIR Checklist

DataRank Breakdown

Authors (9)

Funding (1 grants)

Impact

Open Access

Topics