Creating a tool to predict complications from traumatic brain injuries using brain scans
Building and implementing a TBI prognostic model featuring real-time analysis of brain CT images
This study is working on a smart computer program that looks at brain scans to help doctors quickly spot potential problems after a head injury, making it easier for them to take care of patients like you.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project ID | NIH-11123197 on NIH RePORTER |
What this research studies
This research focuses on developing a machine learning model that analyzes brain CT images in real-time to predict complications from traumatic brain injuries (TBI). The project involves extracting and cleaning data, designing neural network architectures, and optimizing the model for accuracy. It also includes creating a user-friendly dashboard for clinicians to access and interpret the predictions easily. The model will be validated through collaboration with healthcare staff and will utilize data from multiple sites to ensure its effectiveness across different patient populations.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals who have suffered a traumatic brain injury and are receiving treatment in an emergency department.
Not a fit: Patients with non-traumatic brain conditions or those who do not undergo CT imaging may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved decision-making and treatment outcomes for patients with traumatic brain injuries.
How similar studies have performed: Other research has shown promise in using machine learning for medical imaging analysis, indicating that this approach could be effective.
Where this research is happening
Durham, United States
- Duke University — Durham, United States (Active)
Researchers
- Principal investigator: Dunn, Timothy William — Duke University
- Study coordinator: Dunn, Timothy William
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.