Biomedical computing and visualization tools for AI-driven medical imaging and data science
Official title: Biomedical Computing and Visualization Tools for Computer-integrated Diagnostic and Therapeutic Data Science
Funded at Rochester Institute of Technology · NIH-11336345 · Data updated 2026-11-12
A grant to build AI-powered imaging tools that help doctors diagnose disease, plan treatment, monitor outcomes, and train clinicians using multi-modal medical images and signals.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Rochester Institute of Technology NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project start | August 1, 2018 |
| Project end | May 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $384,198 |
| NIH project number | 5R35GM128877-08 |
| Project ID | NIH-11336345 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are patients whose care involves complex imaging and interventional procedures requiring real-time data analysis.
✕Less likely to help
Patients not undergoing imaging- or data-intensive diagnostic/therapeutic workflows may not directly benefit.
What this research studies
This project aims to create intelligent imaging informatics tools that can handle large, complex medical data in real time. It focuses on integrating image computing, modeling, visualization, and validation to reveal biological complexity and support better care. The work is designed to benefit patients by enabling faster, more accurate diagnoses and improved guidance for therapies and training in clinical settings.
Why it matters
Potential benefit: If successful, patients could experience faster, more accurate diagnoses and better-guided treatments through advanced imaging and real-time data analysis.
How similar studies have gone: Similar AI-driven imaging informatics approaches have shown promise in improving diagnostic accuracy and treatment planning in prior studies.
Where this research is happening
-
Rochester Institute of Technology
Rochester, United States Active
Researchers
- Principal investigator: Linte, Cristian a — Rochester Institute of Technology
- Study coordinator: Linte, Cristian a
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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.