Using AI to improve understanding and diagnosis of Alzheimer's Disease
Explainable and Ethical AI for Studying Alzheimer's Disease
This study is working on using smart computer technology to help doctors better understand and diagnose Alzheimer's Disease by looking at brain scans and other health information, so patients can get more accurate and fair assessments of their condition.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Emory University NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project ID | NIH-11142558 on NIH RePORTER |
What this research studies
This research focuses on developing advanced artificial intelligence (AI) models to enhance the diagnosis and prognosis of Alzheimer's Disease (AD). It aims to address the challenges of explainability in AI, ensuring that factors such as race, social determinants of health, and comorbidities are considered in the models. By analyzing cerebrospinal fluid proteomics alongside brain imaging data, the research seeks to uncover patterns that can lead to better patient management and understanding of AD. Patients may benefit from more accurate and ethical AI-driven assessments of their condition.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals diagnosed with Alzheimer's Disease, particularly those from diverse racial and socioeconomic backgrounds.
Not a fit: Patients without a diagnosis of Alzheimer's Disease or those who do not have access to the necessary healthcare resources may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and ethical AI tools for diagnosing and managing Alzheimer's Disease, ultimately improving patient outcomes.
How similar studies have performed: Previous research has shown promise in using AI for medical diagnostics, but this approach specifically addressing explainability and ethical considerations in Alzheimer's Disease is relatively novel.
Where this research is happening
Atlanta, United States
- Emory University — Atlanta, United States (Active)
Researchers
- Principal investigator: Qiu, Deqiang — Emory University
- Study coordinator: Qiu, Deqiang
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.