Using AI to improve access to HIV care and treatment
Official title: Artificial Intelligence and Counterfactually Actionable Responses to End HIV (AI-CARE-HIV)
Funded at University of Florida · NIH-11056715 · Data updated 2026-11-12
This study is using artificial intelligence to help improve HIV care for African Americans in Florida by understanding the social and personal factors that affect their health, with the hope of making treatment easier and reducing stigma around the virus.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Florida NIH-funded |
| Lab location | 1 site (Gainesville, United States) |
| Project start | April 25, 2023 |
| Project end | March 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $707,356 |
| NIH project number | 5R01AI172875-03 |
| Project ID | NIH-11056715 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include African American individuals living with HIV in Florida who may face barriers to accessing care.
✕Less likely to help
Patients who are not living with HIV or those outside the geographic focus of Florida may not benefit from this research.
What this research studies
This research focuses on leveraging artificial intelligence to enhance access to HIV care, particularly for African American populations in Florida, who are disproportionately affected by the virus. By analyzing large datasets, including electronic health records and clinical notes, the project aims to identify social and behavioral factors that impact health outcomes. The study will develop AI models that can provide actionable insights to improve treatment adherence and reduce stigma associated with HIV. Ultimately, the goal is to create a more effective and equitable healthcare system for those living with HIV.
Why it matters
Potential benefit: If successful, this research could lead to improved health outcomes and better access to HIV treatment for affected individuals.
How similar studies have gone: Previous research has shown promise in using AI to analyze health data for improving care access, indicating that this approach could be effective.
Where this research is happening
-
University of Florida
Gainesville, United States Active
Researchers
- Principal investigator: Prosperi, Mattia — University of Florida
- Study coordinator: Prosperi, Mattia
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.