Using deep learning to find early signs of Alzheimer's disease
Deep Learning for Detecting the Early Anatomical Effects of Alzheimer's Disease
This study is looking at how to better spot early signs of Alzheimer's disease by using advanced computer technology to analyze MRI scans of the brain, which could help doctors diagnose and plan treatment more effectively.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts General Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-10846724 on NIH RePORTER |
What this research studies
This research focuses on improving the detection of early anatomical changes associated with Alzheimer's disease using advanced deep learning techniques. By analyzing MRI scans over time, the study aims to enhance the accuracy and efficiency of identifying subtle changes in brain structure that may indicate the onset of Alzheimer's. The approach seeks to minimize noise in the imaging data and ensure that each scan is evaluated fairly, which could lead to better understanding and monitoring of disease progression. Ultimately, this research aims to develop tools that can be used directly in clinical settings to aid in early diagnosis and treatment planning.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals at risk for Alzheimer's disease or those experiencing early symptoms of cognitive decline.
Not a fit: Patients with advanced Alzheimer's disease or those who do not have any cognitive impairment may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate diagnoses of Alzheimer's disease, allowing for timely interventions.
How similar studies have performed: Other research has shown promise in using deep learning for medical imaging, indicating that this approach could be effective in detecting early signs of Alzheimer's disease.
Where this research is happening
Boston, United States
- Massachusetts General Hospital — Boston, United States (Active)
Researchers
- Principal investigator: Fischl, Bruce — Massachusetts General Hospital
- Study coordinator: Fischl, Bruce
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.