AI-Powered MRI could spot breast cancer earlier in High-Risk women
NCT ID NCT07121972
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study is testing whether using an artificial intelligence (AI) tool called Mirai to guide MRI screening can help find breast cancers earlier. Researchers will enroll 400 women aged 40-89 who are at high risk according to the AI model. Participants will receive a supplemental MRI scan, and the team will track how many cancers are detected within one year. The goal is to see if AI can better identify who needs extra screening beyond standard mammography.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
Magnetic resonance imaging (MRI) and artificial intelligence (AI) algorithm
What this could lead to
If successful, this could show that AI can more accurately identify women who would benefit from MRI screening, potentially catching breast cancers earlier.
What could go wrong
This is a single-arm study without a comparison group, so it cannot prove AI-guided screening is better than standard care. The AI model may not perform as well in real-world settings.
Disclaimer
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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University of California, San Diego
NOT_YET_RECRUITINGSan Diego, California, 92093, United States
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University of California, San Francisco
RECRUITINGSan Francisco, California, 94143, United States
Contact Email: •••••@•••••
Contact
Contact
Contact Email: •••••@•••••
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University of Chicago Comprehensive Cancer Center
NOT_YET_RECRUITINGChicago, Illinois, 60637, United States
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University of Massachusetts Memorial Medical Center
RECRUITINGWorcester, Massachusetts, 01655, United States