AI-enhanced MRI predictors of recovery after stroke
Global Brain Health Predictors of Post-Stroke Sensorimotor Recovery using AI-Enhanced Clinical MRIs
This project uses routine hospital brain MRIs, basic patient information, and AI to predict how well people will regain movement and thinking at 3, 6, and 12 months after a stroke.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Southern California NIH-funded |
| Lab location | 1 site (Los Angeles, UNITED STATES) |
| Project ID | NIH-11227811 on NIH RePORTER |
What this research studies
This work will use your routine clinical brain MRI taken soon after a stroke, along with age and simple behavior tests, to train AI models that forecast motor and cognitive recovery at 3, 6, and 12 months. The team combines measures of global brain health—like ‘brain age,’ white matter changes, and enlarged fluid spaces—with lesion damage and clinical scores to make more accurate predictions. They are building and testing the models using large, existing patient datasets and follow-up visits. The aim is to give clearer, individualized recovery forecasts that can help tailor rehabilitation plans.
Who could benefit from this research
Good fit: Ideal candidates are adults who recently had a stroke and who have routine clinical brain MRIs plus follow-up motor and cognitive assessments.
Not a fit: People without clinical MRI scans, those with non-stroke neurological disorders, or those lacking follow-up data at the specified time points are unlikely to benefit directly.
Why it matters
Potential benefit: If successful, this could provide patients and clinicians clearer, personalized recovery forecasts to inform safer and more targeted rehabilitation choices.
How similar studies have performed: Previous studies, including the team's earlier R01 work, showed that global brain health markers on MRI help predict stroke outcomes, but combining these markers with AI for multi-timepoint forecasts is a newer approach.
Where this research is happening
Los Angeles, UNITED STATES
- University of Southern California — Los Angeles, United States (Active)
Researchers
- Principal investigator: Liew, Sook-Lei — University of Southern California
- Study coordinator: Liew, Sook-Lei
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.