Using AI to improve diagnosis and treatment of Parkinson's disease while protecting patient data
SCH: Enabling Data Outsourcing and Sharing for AI-powered Parkinson's Research
This study is exploring how artificial intelligence can help doctors better diagnose and treat Parkinson's disease while keeping your personal information safe, so they can use large amounts of patient data without compromising privacy.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Florida NIH-funded |
| Lab location | 1 site (Gainesville, United States) |
| Project ID | NIH-10832500 on NIH RePORTER |
What this research studies
This research focuses on leveraging artificial intelligence to enhance the diagnosis and treatment of Parkinson's disease by utilizing large-scale patient data. It aims to develop innovative data masking technologies that allow for secure outsourcing of data processing to the cloud, ensuring patient privacy is maintained. The project will conduct experimental studies to train artificial neural network models for predicting Parkinson's disease and diagnosing related conditions. By addressing the challenges of data privacy, this research seeks to improve the accuracy and efficiency of AI applications in healthcare.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with Parkinson's disease or related conditions who are willing to contribute their data for AI analysis.
Not a fit: Patients who do not have Parkinson's disease or related conditions may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and better treatment options for patients with Parkinson's disease.
How similar studies have performed: Other research has shown promise in using AI for medical diagnosis, but the specific approach of data masking for privacy in this context is relatively novel.
Where this research is happening
Gainesville, United States
- University of Florida — Gainesville, United States (Active)
Researchers
- Principal investigator: Chen, Shigang — University of Florida
- Study coordinator: Chen, Shigang
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.