AI to spot peripheral artery disease sooner
Artificial Intelligence for early Detection of Peripheral Artery Disease (AID-PAD)
This project tests an AI tool that scans health records to find early signs of peripheral artery disease in adults.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Diego NIH-funded |
| Lab location | 1 site (La Jolla, United States) |
| Project ID | NIH-11179489 on NIH RePORTER |
What this research studies
You would be affected because researchers are training an AI model on electronic health records to recognize hidden signs of peripheral artery disease (PAD). They will validate the model across different hospitals and patient groups to make sure it works well for people of different races, sexes, and socioeconomic backgrounds. The team will also study how to add the AI into clinic workflows so providers can act on alerts and start treatments earlier. Finally, they will measure whether using the AI changes diagnosis rates, treatment starts, and health outcomes.
Who could benefit from this research
Good fit: Adults aged 21 and older with medical records in participating health systems or with risk factors for PAD would be the ideal candidates for involvement or indirect benefit.
Not a fit: People under 21, those without electronic health records at participating sites, or patients with no PAD risk factors are unlikely to benefit directly from this work.
Why it matters
Potential benefit: If successful, the tool could help clinicians diagnose PAD earlier so patients get treatments sooner and avoid serious complications.
How similar studies have performed: Similar AI approaches have shown promise detecting diseases from EHR data and early PAD models looked encouraging, but broad validation and real-world workflow studies are still limited.
Where this research is happening
La Jolla, United States
- University of California, San Diego — La Jolla, United States (Active)
Researchers
- Principal investigator: Ross, Elsie Gyang — University of California, San Diego
- Study coordinator: Ross, Elsie Gyang
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.