Research graph
References from Comparative 10-year performance of mammography artificial intelligence, polygenic, and clinical breast cancer risk models in the Kaiser Permanente Research Bank. Local targets link to admitted publications; unresolved targets remain external evidence.
Breast cancer risk model requirements for counseling, prevention, and screening
10.1093/jnci/djy013 · 2018 · External reference
Unresolved reference
2025 · External reference
Unresolved reference
2025 · External reference
Breast cancer screening in the precision medicine era: risk-based screening in a population-based trial
10.1093/jnci/djw290 · 2017 · External reference
Risk-based vs annual breast cancer screening: the WISDOM randomized clinical trial
10.1001/jama.2025.24784 · 2026 · External reference
Optimizing risk-based breast cancer screening policies with reinforcement learning
10.1038/s41591-021-01599-w · 2022 · External reference
Risk-adapted starting age of screening for relatives of patients with breast cancer
10.1001/jamaoncol.2019.3876 · 2020 · External reference
Towards implementation of comprehensive breast cancer risk prediction tools in health care for personalised prevention
10.1016/j.ypmed.2022.107075 · 2022 · External reference
Personalized early detection and prevention of breast cancer: ENVISION consensus statement
10.1038/s41571-020-0388-9 · 2020 · External reference
Cost-effectiveness and benefit-to-harm ratio of risk-stratified screening for breast cancer: a life-table model
10.1001/jamaoncol.2018.1901 · 2018 · External reference
Personalizing breast cancer screening based on polygenic risk and family history
10.1093/jnci/djaa127 · 2021 · External reference
Cost-effectiveness of risk-based breast cancer screening: systematic review
10.1002/ijc.33593 · 2021 · External reference
Cost-effectiveness of AI for risk-stratified breast cancer screening
10.1001/jamanetworkopen.2024.31715 · 2024 · External reference
Projecting individualized probabilities of developing breast cancer for White females who are being examined annually
10.1093/jnci/81.24.1879 · 1989 · External reference
Risk models for breast cancer and their validation
10.1214/19-sts729 · 2020 · External reference
Breast density and benign breast disease: risk assessment to identify women at high risk of breast cancer
10.1200/jco.2015.61.8869 · 2015 · External reference
Extending the Breast Cancer Surveillance Consortium model of invasive breast cancer
10.1200/jco.22.02470 · 2024 · External reference
Enhancing the BOADICEA cancer risk prediction model to incorporate new data on RAD51C, RAD51D, BARD1 updates to tumour pathology and cancer incidence
10.1136/jmedgenet-2022-108471 · 2022 · External reference
Breast cancer risk prediction using a clinical risk model and polygenic risk score
10.1007/s10549-016-3953-2 · 2016 · External reference
Addition of a polygenic risk score, mammographic density, and endogenous hormones to existing breast cancer risk prediction models: a nested case-control study
10.1371/journal.pmed.1002644 · 2018 · External reference
Breast cancer risk prediction using clinical models and 77 independent risk-associated SNPs for women aged under 50 years: Australian Breast Cancer Family Registry
10.1158/1055-9965.epi-15-0838 · 2016 · External reference
Comparative validation of the BOADICEA and Tyrer-Cuzick breast cancer risk models incorporating classical risk factors and polygenic risk in a population-based prospective cohort of women of European ancestry
10.1186/s13058-021-01399-7 · 2021 · External reference
Multi-institutional validation of a mammography-based breast cancer risk model
10.1200/jco.21.01337 · 2022 · External reference
Comparison of mammography AI algorithms with a clinical risk model for 5-year breast cancer risk prediction: an observational study
10.1148/radiol.222733 · 2023 · External reference
Artificial intelligence-driven mammography-based future breast cancer risk prediction: a systematic review
10.1016/j.jacr.2023.10.018 · 2024 · External reference
The importance of ethnicity: are breast cancer polygenic risk scores ready for women who are not of White European origin?
10.1002/ijc.33782 · 2022 · External reference
Patient characteristics impact performance of AI algorithm in interpreting negative screening digital breast tomosynthesis studies
10.1148/radiol.232286 · 2024 · External reference
Unresolved reference
2025 · External reference
Polygenic risk scores for prediction of breast cancer and breast cancer subtypes
10.1016/j.ajhg.2018.11.002 · 2019 · External reference
Toward robust mammography-based models for breast cancer risk
10.1126/scitranslmed.aba4373 · 2021 · External reference
Unresolved reference
2025 · External reference
Strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies
10.1136/bmj.39335.541782.ad · 2007 · External reference
Unresolved reference
2025 · External reference
The Kaiser Permanente Research Bank cancer cohort: a collaborative resource to improve cancer care and survivorship
10.1186/s12885-022-09252-6 · 2022 · External reference
Improved whole-chromosome phasing for disease and population genetic studies
10.1038/nmeth.2307 · 2013 · External reference
Next-generation genotype imputation service and methods
10.1038/ng.3656 · 2016 · External reference
A global reference for human genetic variation
10.1038/nature15393 · 2015 · External reference
Selection, optimization and validation of ten chronic disease polygenic risk scores for clinical implementation in diverse US populations
10.1038/s41591-024-02796-z · 2024 · External reference
Incorporating polygenic risk scores and nongenetic risk factors for breast cancer risk prediction among Asian women
10.1001/jamanetworkopen.2021.49030 · 2022 · External reference
Genome-wide association analyses of breast cancer in women of African ancestry identify new susceptibility loci and improve risk prediction
10.1038/s41588-024-01736-4 · 2024 · External reference
A polygenic risk score for breast cancer in US Latinas and Latin American women
10.1093/jnci/djz174 · 2020 · External reference
Evaluating the yield of medical tests
10.1001/jama.1982.03320430047030 · 1982 · External reference
On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data
10.1002/sim.4154 · 2011 · External reference
Time-dependent ROC curves for censored survival data and a diagnostic marker
10.1111/j.0006-341x.2000.00337 · 2000 · External reference
Unresolved reference
2025 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
Weighing the evidence on costs and benefits of polygenic risk-based approaches in clinical practice: a systematic review of economic evaluations
10.1016/j.ajhg.2025.05.012 · 2025 · External reference
2020 ACR Data Science Institute artificial intelligence survey
10.1016/j.jacr.2021.04.002 · 2021 · External reference
Performance of breast cancer risk-assessment models in a large mammography cohort
10.1093/jnci/djz177 · 2020 · External reference
A systematic review and critical assessment of breast cancer risk prediction tools incorporating a polygenic risk score for the general population
10.3390/cancers15225380 · 2023 · External reference
Impact of correlation of predictors on discrimination of risk models in development and external populations
10.1186/s12874-017-0345-1 · 2017 · External reference
A deep learning mammography-based model for improved breast cancer risk prediction
10.1148/radiol.2019182716 · 2019 · External reference
Identification of women at high risk of breast cancer who need supplemental screening
10.1148/radiol.2020201620 · 2020 · External reference
Validation of breast cancer risk models by race/ethnicity, family history and molecular subtypes
10.3390/cancers14010045 · 2021 · External reference
Unresolved reference
2025 · External reference
Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology
10.1016/j.xgen.2023.100408 · 2023 · External reference
Mainstream germline genetic testing with expanded eligibility for early breast cancer patients in a large integrated health system
10.1245/s10434-024-16223-7 · 2025 · External reference
Breast cancer risk genes: association analysis in more than 113,000 women
10.1056/nejmoa1913948 · 2021 · External reference
Use of an AI score combining cancer signs, masking, and risk to select patients for supplemental breast cancer screening
10.1148/radiol.232535 · 2024 · External reference
Validation of a dynamic risk prediction model incorporating prior mammograms in a diverse population
10.1001/jamanetworkopen.2025.12681 · 2025 · External reference
Multi-modal large language models in radiology: principles, applications, and potential
10.1007/s00261-024-04708-8 · 2025 · External reference
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
10.1038/s41591-023-02332-5 · 2023 · External reference
Unresolved reference
2025 · External reference