Using AI to improve brain imaging for Alzheimer's disease
AI-Enhanced Brain PET Imaging for Alzheimer's Disease
This study is working on using smart computer technology to make brain scans for Alzheimer's disease safer and easier by using less radioactive material, which could help doctors spot the disease earlier and improve care for people with dementia.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project ID | NIH-10691406 on NIH RePORTER |
What this research studies
This research focuses on enhancing brain PET imaging techniques for Alzheimer's disease by utilizing artificial intelligence. The project aims to develop convolutional neural network methods that can significantly reduce the amount of radiotracer needed for imaging, making it safer and more accessible for patients. By improving the quality of imaging for commonly used radiotracers, the research seeks to enable better understanding of the disease's progression and facilitate earlier diagnosis. Ultimately, this could lead to more effective monitoring and treatment strategies for individuals with or at risk of dementia.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals diagnosed with Alzheimer's disease or those at high risk for developing dementia.
Not a fit: Patients with other forms of dementia unrelated to Alzheimer's may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to safer and more effective brain imaging techniques for diagnosing and monitoring Alzheimer's disease.
How similar studies have performed: Previous research has shown promise in using AI to enhance imaging techniques, suggesting that this approach could lead to significant advancements in the field.
Where this research is happening
Stanford, United States
- Stanford University — Stanford, United States (Active)
Researchers
- Principal investigator: Zaharchuk, Gregory George — Stanford University
- Study coordinator: Zaharchuk, Gregory George
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.