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References from Explainable machine learning for breast mass characterization and malignancy risk stratification: multimodal integration of AI-derived structured digital breast tomosynthesis features and peripheral blood immune-inflammatory biomarkers. Local targets link to admitted publications; unresolved targets remain external evidence.
Breast imaging reporting and data system for sonography: positive and negative predictive values of sonographic features in kumasi, Ghana
10.1016/j.tranon.2024.101976 · 2024 · External reference
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
10.1001/jama.2017.14585 · 2017 · External reference
Artificial intelligence and mechanistic modeling for clinical decision making in oncology
10.1002/cpt.1951 · 2020 · External reference
Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
10.3322/caac.21834 · 2024 · External reference
Use of microcalcification descriptors in BI-RADS 4th edition to stratify risk of malignancy
10.1148/radiol.2422052130 · 2007 · External reference
The research progress on the prognostic value of the common hematological parameters in peripheral venous blood in breast cancer
10.2147/ott.s227171 · 2020 · External reference
Age-integrated breast imaging reporting and data system assessment model to improve the accuracy of breast cancer diagnosis
10.3892/mco.2024.2758 · 2024 · External reference
A glimpse into the future: integrating artificial intelligence for precision HER2-positive breast cancer management
10.1002/imo2.19 · External reference
The burgeoning importance of PIWI-interacting RNAs in cancer progression
10.1007/s11427-023-2491-7 · External reference
Unraveling prognostic biomarkers in oral squamous cell carcinoma: an approach based on explainable artificial intelligence
10.1016/j.cancergen.2025.07.010 · 2025 · External reference
Unresolved reference
2013 · External reference
The immune contexture in cancer prognosis and treatment
10.1038/nrclinonc.2017.101 · 2017 · External reference
Breast cancer screening using tomosynthesis in combination with digital mammography
10.1001/jama.2014.6095 · 2014 · External reference
Neutrophil to lymphocyte ratio and breast cancer risk: analysis by subtype and potential interactions
10.1038/s41598-020-70077-z · 2020 · External reference
Top 10 challenges in cancer immunotherapy
10.1016/j.immuni.2019.12.011 · 2020 · External reference
Malignancy risk stratification of suspicious breast microcalcifications detected on mammograms using morphological and distribution characteristics based on the fifth edition of BI-RADS
10.1055/s-0045-1809161 · 2025 · External reference
Mammographic morphology and distribution of calcifications in ductal carcinoma in situ diagnosed in organized screening
10.1258/ar.2011.100357 · 2011 · External reference
BI-RADS for sonography: positive and negative predictive values of sonographic features
10.2214/ajr.184.4.01841260 · 2005 · External reference
The impact of extracellular vesicles on breast cancer metastasis and therapeutics: genetic considerations
10.1016/j.cancergen.2025.08.003 · 2025 · External reference
Integrating radiomics and gene expression by mapping on the image with improved DeepInsight for clear cell renal cell carcinoma
10.1016/j.cancergen.2025.02.004 · 2025 · External reference
Prognostic implication of systemic inflammatory markers in young patients with resectable colorectal cancer
10.4174/astr.2021.100.1.25 · 2021 · External reference
International evaluation of an AI system for breast cancer screening
10.1038/s41586-019-1799-6 · 2020 · External reference
Microcalcifications associated with breast cancer: an epiphenomenon or biologically significant feature of selected tumors?
10.1007/s10911-005-5400-6 · 2005 · External reference
Detection of mammographically occult architectural distortion on digital breast tomosynthesis screening: initial clinical experience
10.2214/ajr.13.11047 · 2014 · External reference
A new practical decision rule to better differentiate BI-RADS 3 or 4 breast masses on breast ultrasound
10.1002/jum.15722 · 2022 · External reference
Diagnostic accuracy of digital breast tomosynthesis in combination with 2D mammography for the characterisation of mammographic abnormalities
10.1038/s41598-020-77456-6 · 2020 · External reference
BI-RADS update for breast cancer caregivers
10.1007/s10549-015-3332-4 · 2015 · External reference
Machine learning for hypertension prediction: a systematic review
10.1007/s11906-022-01212-6 · 2022 · External reference
Peripheral blood inflammatory indexes in breast cancer: a review
10.1097/md.0000000000036315 · 2023 · External reference
Diagnostic role of the neutrophil-to-lymphocyte ratio and the platelet-to-lymphocyte ratio in breast cancer: a systematic review and meta-analysis
10.3892/ol.2024.14787 · 2025 · External reference
