Improving knee MRI using advanced AI techniques
Ultra-Fast Knee MRI with Deep Learning
['FUNDING_R01'] · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · NIH-11063195
This study is exploring how advanced computer technology can make knee MRI scans faster and more accurate, helping doctors better diagnose issues like joint degeneration and osteoarthritis.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIFORNIA, SAN FRANCISCO (nih funded) |
| Locations | 1 site (SAN FRANCISCO, UNITED STATES) |
| Trial ID | NIH-11063195 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing knee MRI imaging through the use of deep learning technologies. By automating the extraction of important features from knee tissues, the project aims to improve the speed and reliability of MRI scans, which is crucial for diagnosing conditions like joint degeneration and osteoarthritis. The approach involves training AI models to analyze large datasets, allowing for better interpretation of MRI results and potentially leading to more accurate diagnoses. This innovative method seeks to overcome current limitations in MRI technology and improve clinical practices.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals experiencing knee pain or conditions such as osteoarthritis who require MRI imaging.
Not a fit: Patients with knee conditions that do not require MRI imaging or those who are unable to undergo MRI scans may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to faster and more accurate knee MRI scans, improving diagnosis and treatment for patients with joint issues.
How similar studies have performed: Previous studies have shown promising results in applying deep learning techniques to medical imaging, indicating potential for success in this novel approach.
Where this research is happening
SAN FRANCISCO, UNITED STATES
- UNIVERSITY OF CALIFORNIA, SAN FRANCISCO — SAN FRANCISCO, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: MAJUMDAR, SHARMILA — UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- Study coordinator: MAJUMDAR, SHARMILA
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 below.