Improving AI tools for interpreting prostate MRI scans
Official title: Integrating Radiologist Insights for Safe and Accurate AI-Assisted Prostate MRI Interpretation
Funded at University of Delaware · NIH-11116549 · Data updated 2026-11-12
This study is working on improving AI tools that help doctors read prostate MRI scans better, which is important for diagnosing prostate cancer, so that patients can get more accurate results and better care.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Delaware NIH-funded |
| Lab location | 1 site (Newark, UNITED STATES) |
| Project start | June 1, 2025 |
| Project end | May 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $245,087 |
| NIH project number | 1R21CA301093-01 |
| Project ID | NIH-11116549 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are men undergoing MRI scans for prostate cancer diagnosis or monitoring.
✕Less likely to help
Patients who are not undergoing MRI scans or those with prostate cancer that is not being evaluated through imaging may not benefit from this research.
What this research studies
This research aims to enhance artificial intelligence (AI) tools used in interpreting prostate MRI scans, which are crucial for diagnosing prostate cancer. By integrating insights from radiologists and utilizing standardized reporting formats, the project seeks to train AI systems to better understand and analyze MRI images. The approach involves making radiology reports machine-readable and combining them with visual data to improve AI accuracy. This could lead to more reliable interpretations of MRI scans, ultimately benefiting patient care.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and reliable AI-assisted interpretations of prostate MRI scans, improving early detection and treatment of prostate cancer.
How similar studies have gone: Other research has shown promise in integrating AI with medical imaging, but this specific approach of combining radiologist insights with AI for prostate MRI interpretation is relatively novel.
Where this research is happening
-
University of Delaware
Newark, United States Active
Researchers
- Principal investigator: Peng, Xi — University of Delaware
- Study coordinator: Peng, Xi
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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.