Using AI to better identify alcohol use disorder
Official title: GAIPA: Graph artificial intelligence for precision identification of alcohol use disorder
Funded at Indiana University Indianapolis · NIH-11056158 · Data updated 2026-11-12
This study is looking to help doctors find people who might have alcohol use disorder but haven't been diagnosed yet, especially those who might not have easy access to healthcare, by using smart technology to analyze medical records and other important information.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Indiana University Indianapolis NIH-funded |
| Lab location | 1 site (Indianapolis, United States) |
| Project start | March 15, 2024 |
| Project end | February 28, 2026 |
| Funding year | 2025 |
| Award (this year) | $222,762 |
| NIH project number | 5R21AA031370-02 |
| Project ID | NIH-11056158 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are adults over 21 years old who may be experiencing alcohol use disorder, especially those from lower socioeconomic backgrounds.
✕Less likely to help
Patients who do not consume alcohol or are not at risk for alcohol use disorder may not benefit from this research.
What this research studies
This research aims to improve the identification of alcohol use disorder (AUD) using advanced artificial intelligence techniques. By analyzing a rich dataset that includes electronic medical records, screening results, and genetic information, the project seeks to uncover undiagnosed cases of AUD, particularly among individuals from lower socioeconomic backgrounds who may face barriers to diagnosis. The approach involves developing a graph-based AI model that can effectively interpret complex data patterns to enhance clinical decision-making. This innovative method aims to ensure timely diagnosis and treatment for those at risk.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and timely identification of alcohol use disorder, ultimately improving treatment outcomes for patients.
How similar studies have gone: Other research has shown promise in using AI and machine learning for identifying various health conditions, suggesting that this approach could be effective for alcohol use disorder as well.
Where this research is happening
-
Indiana University Indianapolis
Indianapolis, United States Active
Researchers
- Principal investigator: Su, Jing — Indiana University Indianapolis
- Study coordinator: Su, Jing
Related research
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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.