Improving AI in healthcare to reduce bias in medical imaging
Developing a Hive Learning and Datathon Supported Course on Imaging and Multimodal Data for Resource-Limited Institutions (CIMDAR-HIVE)
This study is looking at how to make AI tools used in medical imaging fairer for everyone, by checking for hidden biases related to things like race and gender, so that all patients get the best care possible.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Emory University NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project ID | NIH-11036105 on NIH RePORTER |
What this research studies
This research focuses on enhancing artificial intelligence tools used in healthcare, particularly in medical imaging, to ensure they do not unintentionally increase healthcare disparities. By analyzing extensive datasets from diverse patient populations, the project aims to uncover hidden biases that may arise from factors like race or gender. The researchers will create synthetic data to test AI models and identify unfair associations that could affect patient outcomes. Ultimately, the goal is to develop AI systems that are fairer and more accurate in predicting health-related factors.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals from diverse backgrounds who have undergone medical imaging procedures.
Not a fit: Patients who do not undergo medical imaging or those from homogeneous demographic backgrounds may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more equitable healthcare outcomes by ensuring AI tools provide accurate predictions for all patient demographics.
How similar studies have performed: Previous research has shown that addressing biases in AI can lead to significant improvements in healthcare delivery, indicating that this approach has potential for success.
Where this research is happening
Atlanta, United States
- Emory University — Atlanta, United States (Active)
Researchers
- Principal investigator: Gichoya, Judy — Emory University
- Study coordinator: Gichoya, Judy
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 below.