MIRAI-MRI: Comparing AI and Traditional Screening for High-Risk Breast Cancer
This study is comparing two ways to identify women at high risk for breast cancer: a new artificial intelligence (AI) software called MIRAI, and the traditional Tyrer-Cuzick model. Researchers want to see if MIRAI, which uses mammograms, is better at finding breast cancer early. If you are a woman over 40 who has been identified as high-risk by either MIRAI or traditional guidelines, you might be able to join. The study will look at how well MIRAI helps find breast cancer compared to traditional screening over about 1.5 years. The study plans to enroll 200 women.
- Study design
- This interventional study plans to enroll 200 women. It compares two methods for identifying high-risk breast cancer patients.
- What's involved
- Following consent and enrollment, a participant will undergo a supplemental Breast MRI in addition to standard care. The study will collect outcome data for 1.5 years.
- Compensation
- Not stated in the trial record.
- Follow-up
- Participants will be followed for 1.5 years for outcome data collection.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
MIRAI-MRI: Comparing Screening MRI for Patients at High Risk for Breast Cancer Identified by Mirai and Tyrer-Cuzick
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Mohammed Salman Shazeeb, PhD · PRINCIPAL_INVESTIGATOR · UMass Chan Medical School
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- CDR Mirai Assessment versus CDR Traditional High Risk Screening1.5 years (duration of patient recruitment and outcome data collection)
Cancer detection rate from breast MRI following Mirai assessment of high risk on a screening mammogram performed less than 1 year ago and compared with established CDR in traditional high risk screening.