Addressing fairness in AI models for asthma in young children
Official title: Addressing differential performance by socioeconomic status in Artificial Intelligence (AI) models for childhood asthma
Funded at Mayo Clinic Rochester · NIH-11404010 · Data updated 2026-11-12
This grant aims to ensure AI tools used for diagnosing and managing asthma in children aged 0-11 work fairly for all socioeconomic and demographic groups.
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 | 2026 |
| Award (this year) | $475,228 |
| NIH project number | 5R01HL171508-02 |
| Project ID | NIH-11404010 on NIH RePORTER |
Who could benefit from this research
✓Could help
Children aged 0-11 with asthma who would benefit from AI-assisted care and whose data can be used to assess model fairness.
✕Less likely to help
Patients whose data do not contribute to fairness analyses or who are not part of the AI-driven care workflow may not directly benefit.
What this research studies
The project focuses on pediatric asthma and how AI models might perform differently across groups defined by socioeconomic status and other factors. It builds on previous work that found current fairness measurements and mitigation methods insufficient, and seeks stronger ways to measure uncertainty and power when evaluating AI fairness in clinical data. By partnering with Mayo Clinic and leveraging pediatric EHRs, the study will examine how data quality and model design influence outcomes for disadvantaged populations. The goal is to develop fairer AI approaches that improve asthma care for all children, regardless of background.
Why it matters
Potential benefit: If successful, the work could lead to fairer AI tools that provide accurate asthma care recommendations for all children, reducing disparities in outcomes.
How similar studies have gone: Earlier studies showed mixed results and highlighted gaps; this project aims to overcome those limitations with stronger methods.
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.