AI-powered same-day read to speed breast cancer 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-11424512 · Data updated 2026-11-12
A new AI system is being tested to give immediate screening results after a mammogram to reduce recalls, shorten anxiety, and speed up follow-up for breast cancer screening.
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 | 2026 |
| Award (this year) | $243,361 |
| NIH project number | 5R33HS029257-05 |
| Project ID | NIH-11424512 on NIH RePORTER |
Who could benefit from this research
✓Could help
Women undergoing breast cancer screening who would normally be recalled for further workup.
✕Less likely to help
Patients whose results are not influenced by the AI tool or who do not require follow-up may not experience direct benefits.
What this research studies
This project tests an AI tool used at the point of care to interpret screening mammograms right away, aiming to lower the number of recalls and shorten the wait for diagnostic workups. By providing immediate feedback, it seeks to boost patient satisfaction and reduce the stress of uncertain results. The study will measure feasibility and effects on recall rates, patient anxiety, and time to diagnosis in a real clinical setting.
Why it matters
Potential benefit: If successful, patients may experience fewer recalls, less anxiety, and quicker diagnostic follow-ups after screening.
How similar studies have gone: Prior efforts show AI can aid image interpretation, with ongoing work to translate these gains into workflow improvements.
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
Other NIH-funded projects on the same topics.
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AI for same-day breast screening results
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-
Using AI to improve same-day breast cancer imaging results
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Translational breast cancer research to improve treatment options
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Cancer Pain Management for Asian American Breast Cancer Survivors with Depressive Symptoms
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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.