Using artificial intelligence to find peripheral artery disease early
Official title: Artificial Intelligence for early Detection of Peripheral Artery Disease (AID-PAD)
Funded at University of California, San Diego · NIH-10932231 · Data updated 2026-11-12
This study is testing a smart computer program that helps find signs of peripheral artery disease (PAD) in patients before doctors usually catch it, aiming to improve early diagnosis and treatment, especially for those who might not get the care they need.
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 start | September 21, 2023 |
| Project end | August 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $596,133 |
| NIH project number | 5R01AG084343-02 |
| Project ID | NIH-10932231 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include adults over 21 years old, particularly those at risk for peripheral artery disease, including individuals from underserved populations.
✕Less likely to help
Patients who are already diagnosed with peripheral artery disease or those without risk factors for the condition may not benefit from this research.
What this research studies
This research focuses on developing an artificial intelligence (AI) model to detect peripheral artery disease (PAD) before it is diagnosed by healthcare providers. By analyzing large amounts of electronic health record data, the AI aims to identify patients at risk for PAD, which is often overlooked due to atypical symptoms and low awareness. The study will validate the AI model's performance in various clinical settings and assess how it can be integrated into healthcare workflows to improve diagnosis rates and patient outcomes. Ultimately, the goal is to enhance early detection and treatment of PAD, particularly in underserved populations.
Why it matters
Potential benefit: If successful, this research could lead to earlier diagnosis and better management of peripheral artery disease, improving health outcomes for patients.
How similar studies have gone: Other research has shown promise in using AI for early disease detection, indicating that this approach could be effective in improving diagnosis rates.
Where this research is happening
-
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
Related research
Other NIH-funded projects on the same topics.
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Low-dose colchicine to reduce vascular risk in people with peripheral artery disease
This project tests whether taking a low-dose anti-inflammatory drug (colchicine) daily can lower heart and limb-related risks for adults with peripheral artery disease.
-
Gamified home walking program to help seniors with peripheral artery disease improve walking and quality of life
A program uses game elements on wearable devices to help people 65+ with peripheral artery disease walk more at home and feel better.
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Fatty clues in leg arteries: how fat burning in mitochondria affects PAD and muscle health
This project looks at how fat metabolism in leg muscles relates to weakness and tissue damage in people with peripheral artery disease and aims to find new ways to help them.
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Enhancing muscle energy to help leg function in PAD
A study to boost how muscle mitochondria work in people with peripheral artery disease to improve walking and leg function.
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Low-dose colchicine for people with peripheral artery disease to reduce heart and limb risks
A large international study will test whether a low daily dose of colchicine can lower heart and limb complications for people with peripheral artery disease.
-
Low-dose colchicine for reducing vascular risk in people with PAD
A large international study will test whether a daily low dose of colchicine can lower heart and limb-related risks for people with peripheral artery disease.
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.