Using artificial intelligence to find peripheral artery disease early
Artificial Intelligence for early Detection of Peripheral Artery Disease (AID-PAD)
['FUNDING_R01'] · UNIVERSITY OF CALIFORNIA, SAN DIEGO · NIH-10932231
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
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIFORNIA, SAN DIEGO (nih funded) |
| Locations | 1 site (LA JOLLA, UNITED STATES) |
| Trial ID | NIH-10932231 on ClinicalTrials.gov |
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.
Who could benefit from this research
Good fit: Ideal candidates for this research include adults over 21 years old, particularly those at risk for peripheral artery disease, including individuals from underserved populations.
Not a fit: Patients who are already diagnosed with peripheral artery disease or those without risk factors for the condition may not benefit from this research.
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 performed: 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
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.
Conditions: Atherosclerotic Cardiovascular Disease