NIH-funded research R01 grant

AI to spot peripheral artery disease sooner

Official title: Artificial Intelligence for early Detection of Peripheral Artery Disease (AID-PAD)

Funded at University of California, San Diego · NIH-11179489 · Data updated 2026-11-12

This project tests an AI tool that scans health records to find early signs of peripheral artery disease in adults.

More Peripheral Artery Disease research and trials

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of California, San Diego
NIH-funded
Lab location1 site (La Jolla, United States)
Project startSeptember 21, 2023
Project endAugust 31, 2028
Funding year2025
Award (this year)$529,904
NIH project number5R01AG084343-03
Project IDNIH-11179489 on NIH RePORTER

Who could benefit from this research

Could help

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.

Less likely to help

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.

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.

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 gone: 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

  • 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.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.