Making breast imaging and follow-up fairer for underserved communities
Project 2
This project works to make breast imaging and follow-up better and more fair for people in underserved communities by looking at clinic practices and new tools like AI.
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-11182600 on NIH RePORTER |
What this research studies
Researchers are examining how factors at breast imaging centers affect whether people in underserved communities receive timely diagnostic follow-up after abnormal mammograms. They will compare facility practices, adoption of AI tools, and review imaging and follow-up records to see where cancers are missed or diagnosed late. The team will also consider neighborhood social determinants that affect access to care. The goal is to identify practical, changeable clinic policies and technology adoption patterns that could reduce disparities.
Who could benefit from this research
Good fit: Ideal participants are people receiving breast screening in underserved populations—such as racial/ethnic minorities, low-income, lower-education, or rural communities—at participating imaging centers.
Not a fit: People who are not getting breast imaging, or who already receive timely, high-quality mammography and follow-up at well-resourced centers, are unlikely to benefit directly.
Why it matters
Potential benefit: If successful, this work could reduce missed cancers and speed up follow-up for patients in underserved communities.
How similar studies have performed: Previous studies suggest AI can improve detection accuracy but have not consistently shown reductions in disparities, so this project focuses on equitable clinic-level adoption to fill that gap.
Where this research is happening
Davis, United States
- University of California at Davis — Davis, United States (Active)
Researchers
- Principal investigator: Lee, Christoph I — University of California at Davis
- Study coordinator: Lee, Christoph I
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.