Using AI and machine learning to improve healthcare diversity and inclusion
Official title: AI-Campus Workshops: Revolutionizing Healthcare with AI and Machine Learning to Promote Diversity and Inclusion
Funded at Cedars-Sinai Medical Center · NIH-10979789 · Data updated 2026-11-12
This study is all about using smart technology to make healthcare better for everyone, especially by helping people from diverse backgrounds, like those from Historically Black Colleges and Universities, get involved in research and improve patient care.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Cedars-Sinai Medical Center NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project start | September 1, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2024 |
| Award (this year) | $20,000 |
| NIH project number | 1R13LM014478-01A1 |
| Project ID | NIH-10979789 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation include individuals from underrepresented communities in healthcare and technology, particularly those affiliated with HBCUs.
✕Less likely to help
Patients who are not part of underrepresented communities or those not engaged in educational or research activities related to AI and healthcare may not benefit from this research.
What this research studies
This project aims to enhance healthcare by leveraging artificial intelligence and machine learning technologies. It focuses on promoting diversity and inclusion in the research community, particularly for underrepresented groups. The initiative includes organizing annual workshops and competitions that provide resources and opportunities for participants from Historically Black Colleges and Universities (HBCUs) and other diverse backgrounds. By creating datasets that reflect real-world healthcare challenges, the project seeks to optimize patient outcomes and improve healthcare systems.
Why it matters
Potential benefit: If successful, this research could lead to more equitable healthcare solutions and improved patient outcomes through enhanced diversity in AI and machine learning applications.
How similar studies have gone: Previous initiatives have shown success in promoting diversity in AI and healthcare through workshops and competitions, indicating a positive trend in this approach.
Where this research is happening
-
Cedars-Sinai Medical Center
Los Angeles, United States Active
Researchers
- Principal investigator: Huang, Xiuzhen — Cedars-Sinai Medical Center
- Study coordinator: Huang, Xiuzhen
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.