AI-powered mobile app for assessing fall risks in older adults

AVA_ AI Video-Based Mobile Application for Reliable, Accessible, and Low-Cost Fall Risk Assessments of Older Adults

NIH-funded research Foresightcares INC. · NIH-11005668

This study is testing a new mobile app called AVA that helps older adults check their risk of falling right at home, using their smartphone's camera to look at things like how they walk and balance, making it easier and more affordable for families to keep their loved ones safe.

Quick facts

Grant typeSbir 1 grant
Study typeNIH-funded research
Funding institutionForesightcares INC. NIH-funded
Lab location1 site (Matthews, United States)
Project IDNIH-11005668 on NIH RePORTER

What this research studies

This research develops AVA, an innovative mobile application that uses artificial intelligence to assess fall risks in older adults from the comfort of their homes. By utilizing the built-in cameras and processing power of smartphones, AVA evaluates important factors like gait, balance, and strength without the need for professional supervision. This approach aims to make fall risk assessments more accessible and affordable, particularly for caregivers and family members of older adults. The app operates entirely on-device, ensuring user privacy and ease of use, while also aligning with CDC guidelines for fall assessments.

Who could benefit from this research

Good fit: Ideal candidates for this research include older adults living independently or in assisted living communities, as well as their caregivers.

Not a fit: Patients who are not older adults or those who do not have access to a smartphone may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could provide a reliable and low-cost method for older adults to assess their fall risk, potentially reducing the incidence of falls and related injuries.

How similar studies have performed: Other research has shown promise in using technology for fall risk assessments, but AVA's specific AI-driven approach is relatively novel.

Where this research is happening

Matthews, United States

Researchers

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 below.
Last reviewed 2026-06-13 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.