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A Review of AI-Based Radiomics and Computational Pathology Approaches in Triple-Negative Breast Cancer: Current Applications and Perspectives

Clinical Breast Cancer(2023)10.1016/j.clbc.2023.06.004Source: DataRank Database

A Review of AI-Based Radiomics and Computational Pathology Approaches in Triple-Negative Breast Cancer: Current Applications and Perspectives is a research paper published in Clinical Breast Cancer (2023). On theSindex it has a DataRank of 0. It has been cited 37 times.

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Scored on demand from live citation data

Open Access37 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (38 grants)Impact (FWCI 5.73)OA: hybridTopics (36)IDs (PubMed, PMC, 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 (6)

Satvika Bharadwaj ORCID,Tilak Pathak ORCID,Vidya Sankar Viswanathan ORCID,Paula Toro ORCID,Anant Madabhushi ORCID

Live enrichment

PubMed:37380569 PMC:PMC10733554 OpenAlex:https://openalex.org/W4381548965

National Cancer Institute

Grant: R01CA202752-01A1

National Cancer Institute

Grant: R01CA216579-01A1

National Cancer Institute

Grant: U01CA269181

DOD Prostate Cancer Research Program

Grant: W81XWH-20-1-0851

National Cancer Institute

Grant: 1U01CA248226-01

NHLBI NIH HHS

Grant: R01 HL158071

National Heart, Lung, and Blood Institute

Grant: R01HL15807101A1

NIBIB NIH HHS

Grant: R43 EB028736

NCI NIH HHS

Grant: R01 CA208236

NCI NIH HHS

Grant: R01 CA257612

National Cancer Institute

Grant: R01CA26820701A1

NCI NIH HHS

Grant: U01 CA239055

US Department of Veterans Affairs

Grant: IBX004121A

BLRD VA

Grant: IK6 BX006185

NCI NIH HHS

Grant: U54 CA254566

National Cancer Institute

Grant: 1U01CA239055-01

Mayo Clinic

Grant: P50 CA116201

NCI NIH HHS

Grant: R01 CA268207

NCI NIH HHS

Grant: R01 CA216579

NCI NIH HHS

Grant: R01 CA220581

NCI NIH HHS

Grant: R01 CA249992

National Cancer Institute

Grant: R01CA220581-01A1

National Cancer Institute

Grant: R01CA257612-01A1

National Institute of Biomedical Imaging and Bioengineering

Grant: 1R43EB028736-01

National Cancer Institute

Grant: 1U54CA254566-01

BLRD VA

Grant: I01 BX004121

NHLBI NIH HHS

Grant: R01 HL151277

National Cancer Institute

Grant: R01CA249992-01A1

National Cancer Institute

Grant: R01CA268287A1

NCI NIH HHS

Grant: U01 CA248226

National Heart, Lung, and Blood Institute

Grant: 1R01HL15127701A1

NCI NIH HHS

Grant: R01 CA202752

NCI NIH HHS

Grant: R01 CA268287

National Cancer Institute

Grant: R01CA208236-01A1

Biomedical Laboratory Research and Development, VA Office of Research and Development

National Institutes of Health

Boehringer Ingelheim

Bristol-Myers Squibb

FWCI

5.73

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

hybridLicense: cc-by-nc-nd

journalhttp://www.clinical-breast-cancer.com/article/S1526820923001611/pdf

publisherhttp://www.clinical-breast-cancer.com/article/S1526820923001611/pdf

journalhttps://doi.org/10.1016/j.clbc.2023.06.004

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37380569

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10733554

Fields of Study

Radiomics and Machine Learning in Medical ImagingAI in cancer detectionColorectal Cancer Surgical TreatmentsHumansFemaleTriple Negative Breast NeoplasmsBreast NeoplasmsArtificial IntelligenceNeoplasm Recurrence, LocalPrognosisChemotherapy, Adjuvant

MeSH Terms

Artificial IntelligenceBreast NeoplasmsFemaleHumansNeoplasm Recurrence, LocalPrognosisChemotherapy, AdjuvantTriple Negative Breast Neoplasms

Keywords

MedicineTriple-negative breast cancerBreast cancerContext (archaeology)DiseaseRadiomicsImmunotherapyOncologyCancerInternal medicinePathologyRadiologyMachine LearningPredictive BiomarkersPrognostic BiomarkersDeep LearningComputational Pathology And Radiomics