Exploring the ethics of AI in breast cancer genetic testing
Official title: Navigating Ethical Frontiers of AI-Driven Clinical Decision Support Systems: Exploring Explainability and Bias
Funded at Arizona State University-Tempe Campus · NIH-11064608 · Data updated 2026-11-12
This study looks at how using AI tools for genetic testing in breast cancer patients can be done fairly and responsibly, especially since many people with BRCA mutations might be overlooked, and it aims to make sure everyone, including those with lower incomes, has access to these important tests.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Arizona State University-Tempe Campus NIH-funded |
| Lab location | 1 site (Tempe, United States) |
| Project start | August 1, 2023 |
| Project end | July 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $144,672 |
| NIH project number | 3R21EB033923-01S1 |
| Project ID | NIH-11064608 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include women at risk for breast cancer, particularly those with family histories or personal risk factors for BRCA mutations.
✕Less likely to help
Patients who do not have breast cancer or are not at risk for BRCA mutations may not benefit from this research.
What this research studies
This research investigates the ethical implications of using AI-driven clinical decision support systems for genetic testing in breast cancer patients. It focuses on the limitations of current screening guidelines, which often miss a significant number of patients with BRCA mutations. By examining the bioethical concerns associated with black-box AI models, the project aims to ensure that these technologies are implemented responsibly and equitably in patient care. The research will also address disparities in access to genetic testing, particularly for low-income populations.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and equitable genetic testing for breast cancer patients, improving early detection and treatment options.
How similar studies have gone: While the ethical implications of AI in healthcare are being explored, this specific focus on breast cancer genetic testing is relatively novel and untested.
Where this research is happening
-
Arizona State University-Tempe Campus
Tempe, United States Active
Researchers
- Principal investigator: Iquebal, Ashif — Arizona State University-Tempe Campus
- Study coordinator: Iquebal, Ashif
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.