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Evaluating a deep learning AI algorithm for detecting residual prostate cancer on MRI after focal therapy

BJUI Compass(2024)10.1002/bco2.373Source: DataRank Database

Evaluating a deep learning AI algorithm for detecting residual prostate cancer on MRI after focal therapy is a research paper published in BJUI Compass (2024). 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:Impact (FWCI 1.15)OA: goldTopics (19)IDs (PubMed, PMC, OpenAlex)Annotations (1)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 (10)

Stephanie A. Harmon ORCID,Alexander P. Kenigsberg ORCID,Yan Mee Law,Enis C. Yılmaz ORCID,Maria J. Merino ORCID

Live enrichment

PubMed:39022660 PMC:PMC11250150 OpenAlex:https://openalex.org/W4396847981

FWCI

1.15

Citation Percentile

0.8%

Citation Trend

2025

2026

goldLicense: cc-by

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/bco2.373

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/bco2.373

publisherhttps://bjui-journals.onlinelibrary.wiley.com/doi/pdf/10.1002/bco2.373

journalhttps://doi.org/10.1002/bco2.373

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39022660

Fields of Study

Prostate Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingProstate Cancer Treatment and Research

Keywords

Prostate cancerProstateMedicineProstate biopsyMalignancyArtificial intelligenceRadiologyBiopsyMagnetic resonance imagingDeep learningCancerAlgorithmComputer sciencePathologyInternal medicineFocal Therapy

Sustainable Development Goals

SDG 0: Good health and well-being