Personalized, equitable breast cancer screening using risk, imaging, and AI
Advancing Equitable Risk-based Breast Cancer Screening and Surveillance in Community Practice
This program uses your health history, mammogram images, and AI tools to tailor how often you get screened and whether you might be offered extra MRI if you are at higher risk for breast cancer.
Quick facts
| Grant type | P01 program project |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California at Davis NIH-funded |
| Lab location | 1 site (Davis, United States) |
| Project ID | NIH-11379337 on NIH RePORTER |
What this research studies
This program combines clinical risk factors, mammography images, and AI algorithms to build improved risk models for invasive and advanced breast cancer. It compares different screening schedules and whether offering supplemental MRI to people at higher risk improves outcomes. Researchers will study patient-, area-, and clinic-level factors that affect access and screening performance and will test targeted AI tools and other interventions in community practices. You may be asked to share your medical history and imaging or to receive care at participating clinics while these approaches are piloted.
Who could benefit from this research
Good fit: Adults eligible for routine breast screening — including average-risk individuals, people with higher risk factors, and breast cancer survivors at risk for a second cancer — are the primary candidates.
Not a fit: People who are not undergoing screening, who decline to share imaging or records, or who cannot have MRI may not receive direct benefit from participation.
Why it matters
Potential benefit: If successful, this work could detect cancers earlier for people at higher risk and reduce unnecessary tests for lower-risk people.
How similar studies have performed: Previous studies and earlier work from this program show that risk models and AI can improve detection, but using them to guide population-level screening schedules and MRI is still an emerging approach.
Where this research is happening
Davis, United States
- University of California at Davis — Davis, United States (Active)
Researchers
- Principal investigator: Miglioretti, Diana L — University of California at Davis
- Study coordinator: Miglioretti, Diana L
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.