A new wearable device for 3D breast ultrasound using AI technology
Official title: ATUSA: World's First Wearable and Automated 3D Breast Ultrasound System with AI
Funded at Isono Health, INC. · NIH-10922543 · Data updated 2026-11-12
This study is testing a new, easy-to-use wearable device that uses 3D ultrasound and smart technology to help women, especially those with dense breast tissue, get more comfortable and accurate breast cancer screenings.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Isono Health, INC. NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project start | September 6, 2024 |
| Project end | August 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $1,043,109 |
| NIH project number | 1R44CA291498-01 |
| Project ID | NIH-10922543 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are women aged 40 and above, particularly those with dense breast tissue or those who have limited access to traditional mammography.
✕Less likely to help
Patients who do not have breast tissue or those who are not at risk for breast cancer may not receive any benefit from this research.
What this research studies
This research focuses on developing an innovative wearable and automated 3D breast ultrasound system that utilizes artificial intelligence to enhance breast cancer detection. The device aims to provide a more accessible and less painful alternative to traditional mammography, particularly for women with dense breast tissue. By improving the accuracy of early breast cancer diagnosis, this technology seeks to address disparities in screening access and outcomes among different populations. Patients will be able to use this device in various settings, potentially increasing the frequency and comfort of breast cancer screenings.
Why it matters
Potential benefit: If successful, this research could significantly improve early detection rates of breast cancer, leading to better treatment outcomes and survival rates.
How similar studies have gone: Other research has shown promise in using AI and advanced imaging techniques for breast cancer detection, indicating that this approach could be a meaningful advancement in the field.
Where this research is happening
-
Isono Health, INC.
San Francisco, United States Active
Researchers
- Principal investigator: Saberi, Shadi — Isono Health, INC.
- Study coordinator: Saberi, Shadi
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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.