AI-assisted video monitoring to help people with HIV take their medications
Official title: AI-MedWise: Developing and validating an artificial intelligence solution for effective video-based monitoring of medication adherence
Funded at University of Georgia · NIH-11179364 · Data updated 2026-11-12
This project uses an AI tool to check short smartphone videos so people with HIV can get support and reminders to take their daily medicines on time.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Georgia NIH-funded |
| Lab location | 1 site (Athens, United States) |
| Project start | September 1, 2024 |
| Project end | July 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $169,875 |
| NIH project number | 5R21LM014569-02 |
| Project ID | NIH-11179364 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal participants are adults with HIV who take daily oral antiretroviral medications, have access to a smartphone, and are willing to record and submit brief videos.
✕Less likely to help
People without smartphones, who cannot record videos for privacy or technical reasons, or whose medication routines differ from the tested protocols may not benefit from this approach.
What this research studies
You would use a smartphone app to record short videos of yourself taking your medication and send them to the research team. The team will build and test an artificial intelligence (machine learning) model to automatically confirm whether doses were taken so clinicians don't have to watch every video. They will validate the AI's accuracy using videos from people with HIV and compare its decisions to traditional manual review. The goal is to make remote medication monitoring faster, more scalable, and easier to deliver.
Why it matters
Potential benefit: If successful, the AI could speed up and expand remote medication monitoring so more patients get timely help when they miss doses.
How similar studies have gone: Video directly observed therapy (VDOT) has improved adherence in TB and HIV, but replacing manual video review with AI is a relatively new approach that remains to be proven.
Where this research is happening
-
University of Georgia
Athens, United States Active
Researchers
- Principal investigator: Sekandi, Juliet Nabbuye — University of Georgia
- Study coordinator: Sekandi, Juliet Nabbuye
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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.