Using deep learning to improve stroke therapy screening in community hospitals
Deep Learning Enabled Endovascular Stroke Therapy Screening in Community Hospitals
This study is working on a new software tool that helps doctors in community hospitals quickly find out who might benefit from a special stroke treatment by looking at CT scans, making it easier for more people to get the care they need.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Texas Hlth Sci Ctr Houston NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project ID | NIH-11061761 on NIH RePORTER |
What this research studies
This research aims to enhance the screening process for endovascular stroke therapy (EST) in community hospitals by developing a software tool that utilizes deep learning algorithms. The tool will analyze CT angiography (CTA) images to identify candidates for EST, which is crucial for treating large vessel occlusion strokes. By automating the evaluation process, the research seeks to make advanced stroke care accessible in facilities that lack sophisticated neuroimaging technologies. The project will also compile a large dataset of imaging and clinical data to support its findings.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals experiencing acute ischemic strokes, particularly those with large vessel occlusions.
Not a fit: Patients who do not have access to community hospitals or those who are not experiencing acute ischemic strokes may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly improve the identification and treatment of stroke patients in community hospitals, leading to better clinical outcomes.
How similar studies have performed: Other research has shown promise in using advanced imaging techniques and machine learning for stroke management, indicating that this approach could be effective.
Where this research is happening
Houston, United States
- University of Texas Hlth Sci Ctr Houston — Houston, United States (Active)
Researchers
- Principal investigator: Sheth, Sunil — University of Texas Hlth Sci Ctr Houston
- Study coordinator: Sheth, Sunil
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.