Developing advanced tools for better diagnosis and treatment using computer technology
Official title: Biomedical Computing and Visualization Tools for Computer-integrated Diagnostic and Therapeutic Data Science
Funded at Rochester Institute of Technology · NIH-11077208 · Data updated 2026-11-12
This study is working on new computer tools that use artificial intelligence to help doctors better understand medical images and signals, which could lead to more accurate diagnoses and easier treatments for patients.
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 | 2025 |
| Award (this year) | $384,198 |
| NIH project number | 5R35GM128877-07 |
| Project ID | NIH-11077208 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals requiring diagnostic imaging or therapeutic interventions for various medical conditions.
✕Less likely to help
Patients who do not require imaging or therapeutic interventions may not benefit from this research.
What this research studies
This research focuses on creating innovative computer-integrated tools that enhance the processing, analysis, and visualization of medical images and signals. By leveraging artificial intelligence, the project aims to improve disease diagnosis, therapy planning, and monitoring, while also advancing medical education through simulation. The approach involves a multi-disciplinary program that integrates various aspects of biomedical informatics to develop intelligent imaging tools that can handle complex data in real-time. Patients may benefit from more accurate diagnoses and less invasive treatment options as a result of these advancements.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and improved treatment options for patients.
How similar studies have gone: Other research has shown success in utilizing AI and advanced imaging techniques to improve diagnostic accuracy and treatment outcomes.
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.