Plain-English translation of NCT05968157 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Read our Breast Cancer research guide →This study doesn't follow the usual testing phases — it may be an observational study or a different type of research.
This trial is testing a new artificial intelligence tool called Mirai that analyzes mammogram images to predict which women are at high risk for breast cancer. The study will invite women identified as high-risk by Mirai to receive supplemental MRI screening (a detailed imaging test) within 12 months and compare how well this tool works compared to the current standard risk assessment method.
Current methods of identifying women at high risk for breast cancer may miss some cases. This trial exists to see whether Mirai, a newer computer-based prediction tool, can more accurately identify high-risk women and whether offering them MRI screening leads to earlier cancer detection.
You likely qualify if…
You likely don't qualify if…
If you qualify and enroll, you will be invited to receive an MRI scan of your breast within 12 months. This is a detailed imaging test that is very sensitive at finding breast cancer. If the MRI finds anything concerning, you may need a biopsy (a small tissue sample) to confirm whether it is cancer. The study will track your imaging results and compare them to other high-risk women.
AI-generated summary from trial data · Jun 9, 2026 · Not medical advice
United States
Sponsor
University of Massachusetts, Worcester
Collaborators
Massachusetts Institute of Technology, Breast Cancer Research Foundation
Enrollment target
~200 participants
Started
February 2024
Primary completion
June 2026
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
40 Years and older
Sex
Female only
Last updated on clinicaltrials.gov in January 2026.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Sara Schiller, MPH
UMass Chan Medical School
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.