Making asthma care AI work fairly for all children
Official title: Addressing differential performance by socioeconomic status in Artificial Intelligence (AI) models for childhood asthma
Funded at Mayo Clinic Rochester · NIH-11128114 · Data updated 2026-11-12
This project aims to improve AI tools used in pediatric asthma care so they give fairer and more reliable results for children from different incomes and backgrounds.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mayo Clinic Rochester NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project start | September 1, 2025 |
| Project end | June 30, 2029 |
| Funding year | 2025 |
| Award (this year) | $526,890 |
| NIH project number | 1R01HL171508-01A1 |
| Project ID | NIH-11128114 on NIH RePORTER |
Who could benefit from this research
✓Could help
Children aged 0–11 with asthma—especially those from lower socioeconomic backgrounds, racial/ethnic minorities, or rural areas whose health records are available to participating health systems—are the focus of this work.
✕Less likely to help
Adults, people without asthma, and children whose care records are not part of participating health systems are unlikely to be directly affected by this project.
What this research studies
If your child has asthma, this project will examine electronic health records and the AI tools clinicians use to predict and manage asthma to see whether they work differently for kids from different income levels, races, or rural areas. Researchers will test current ways of measuring bias and add stronger statistical checks for uncertainty and data quality so they can spot when an AI is unreliable. They will develop and test new methods to reduce unfair errors and validate these approaches using pediatric data at Mayo Clinic and partner health systems. The goal is to make AI-based recommendations safer and more equitable for disadvantaged children.
Why it matters
Potential benefit: If successful, AI tools could provide more accurate and equitable asthma care recommendations for children from low-income, minority, or rural communities.
How similar studies have gone: Previous work on measuring and fixing bias in health-care AI has had mixed or limited success, so this project builds on early efforts and applies new statistical and data-quality approaches in pediatric asthma.
Where this research is happening
-
Mayo Clinic Rochester
Rochester, United States Active
Researchers
- Principal investigator: Juhn, Young J — Mayo Clinic Rochester
- Study coordinator: Juhn, Young J
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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.