AI for same-day breast screening results
Official title: Using artificial intelligence to support efficient same-day diagnostic imaging in breast cancer screening
Funded at University of California Los Angeles · NIH-11193907 · Data updated 2026-11-12
This project will use artificial intelligence to give people having screening mammograms faster same-day results and reduce unnecessary callbacks.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project start | September 30, 2022 |
| Project end | September 29, 2027 |
| Funding year | 2025 |
| Award (this year) | $243,361 |
| NIH project number | 5R33HS029257-04 |
| Project ID | NIH-11193907 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are women coming in for routine screening mammograms at participating clinical sites.
✕Less likely to help
People already diagnosed with breast cancer, those not undergoing screening mammograms, or patients at clinics not using the AI workflow are unlikely to benefit directly from this project.
What this research studies
If I go to a participating clinic for a screening mammogram, the team will use an AI tool to read my images right away so I can get results the same day. For women who need more imaging, the AI aims to enable immediate diagnostic exams instead of making patients wait days or weeks. The researchers will track callback rates, extra biopsies, wait times, and patient satisfaction to see how the new workflow compares with usual care. They will collect patient feedback and clinical outcome data at sites using the AI tool to measure feasibility and effects on the care pathway.
Why it matters
Potential benefit: If successful, patients could face fewer callback visits, less anxiety from waiting, and faster follow-up when additional imaging or biopsy is needed.
How similar studies have gone: Previous research shows AI can help read mammograms in retrospective and small prospective studies, but large real-world same-day implementations are still relatively new.
Where this research is happening
-
University of California Los Angeles
Los Angeles, United States Active
Researchers
- Principal investigator: Hsu, William — University of California Los Angeles
- Study coordinator: Hsu, William
Related research
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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.