Using AI to predict cognitive impairment after a stroke
Using AI on Routine Clinical and Imaging Data from Acute Stroke Encounter to Predict Post-Stroke Vascular Contributions to Cognitive Impairment (AI - RESPECT)
This study is looking at how artificial intelligence can help doctors understand which stroke patients might have trouble with thinking and memory after their stroke, so they can get the right support to recover better.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Emory University NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project ID | NIH-10985212 on NIH RePORTER |
What this research studies
This research investigates how artificial intelligence can analyze routine clinical and imaging data from patients who have experienced a stroke to predict the risk of post-stroke cognitive impairment (PSCI). By utilizing electronic health records and neuroimaging data, the study aims to identify patients at high risk for cognitive issues that may affect their recovery and adherence to treatment. The approach includes both retrospective data analysis and prospective cognitive testing to ensure accurate identification of PSCI. This could lead to more tailored recovery strategies for stroke patients.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals who have recently experienced a stroke and may be at risk for cognitive impairment.
Not a fit: Patients who have not had a stroke or those with pre-existing severe cognitive impairments unrelated to stroke may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved identification and management of cognitive impairments in stroke patients, enhancing their recovery and quality of life.
How similar studies have performed: Other research has shown promise in using machine learning approaches to predict cognitive outcomes in various patient populations, indicating that this method could be effective.
Where this research is happening
Atlanta, United States
- Emory University — Atlanta, United States (Active)
Researchers
- Principal investigator: Hu, Xiao — Emory University
- Study coordinator: Hu, Xiao
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.